Eric Xing
#8,218
Most Influential Person Now
American artificial intelligence researcher
Eric Xing's AcademicInfluence.com Rankings
Eric Xingcomputer-science Degrees
Computer Science
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Algorithms
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#25
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Data Mining
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Machine Learning
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Computer Science
Eric Xing's Degrees
- PhD Computer Science University of California, Berkeley
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science Tsinghua University
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Why Is Eric Xing Influential?
(Suggest an Edit or Addition)According to Wikipedia, Eric Poe Xing is an American computer scientist whose research spans machine learning, computational biology, and statistical methodology. Xing is founding President of the world’s first artificial intelligence university, Mohamed bin Zayed University of Artificial Intelligence .
Eric Xing's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Distance Metric Learning with Application to Clustering with Side-Information (2002) (3206)
- Mixed Membership Stochastic Blockmodels (2007) (2014)
- Theoretically Principled Trade-off between Robustness and Accuracy (2019) (1505)
- Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification (2010) (1022)
- Toward Controlled Generation of Text (2017) (832)
- Feature selection for high-dimensional genomic microarray data (2001) (724)
- A Latent Variable Model for Geographic Lexical Variation (2010) (702)
- More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server (2013) (664)
- Deep Kernel Learning (2015) (620)
- Harnessing Deep Neural Networks with Logic Rules (2016) (512)
- Discrete Temporal Models of Social Networks (2006) (511)
- Petuum: A New Platform for Distributed Machine Learning on Big Data (2013) (486)
- Online detection of unusual events in videos via dynamic sparse coding (2011) (479)
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport (2018) (449)
- Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity (2009) (445)
- Joint latent topic models for text and citations (2008) (439)
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2014) (420)
- DAGs with NO TEARS: Continuous Optimization for Structure Learning (2018) (413)
- Sparse Additive Generative Models of Text (2011) (341)
- Semantic Pooling for Complex Event Analysis in Untrimmed Videos (2017) (333)
- Learning Robust Global Representations by Penalizing Local Predictive Power (2019) (331)
- Dual Motion GAN for Future-Flow Embedded Video Prediction (2017) (321)
- Distributed cosegmentation via submodular optimization on anisotropic diffusion (2011) (313)
- Asymptotically Exact, Embarrassingly Parallel MCMC (2013) (303)
- GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server (2016) (300)
- Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans (2020) (288)
- Few-Shot Semantic Segmentation with Prototype Learning (2018) (286)
- On the Automatic Generation of Medical Imaging Reports (2017) (283)
- Self-Challenging Improves Cross-Domain Generalization (2020) (280)
- Estimating time-varying networks (2008) (280)
- Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters (2017) (272)
- Recovering time-varying networks of dependencies in social and biological studies (2009) (256)
- MedLDA: maximum margin supervised topic models for regression and classification (2009) (252)
- High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks (2019) (251)
- CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts (2001) (241)
- A generalized mean field algorithm for variational inference in exponential families (2002) (239)
- High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso (2012) (239)
- Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection (2017) (234)
- MedLDA: maximum margin supervised topic models (2012) (234)
- Unsupervised Text Style Transfer using Language Models as Discriminators (2018) (231)
- A state-space mixed membership blockmodel for dynamic network tomography (2008) (228)
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning (2018) (227)
- Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network (2009) (226)
- Quasi Real-Time Summarization for Consumer Videos (2014) (224)
- Smoothing proximal gradient method for general structured sparse regression (2010) (219)
- Diffusion of Lexical Change in Social Media (2012) (209)
- Stochastic Variational Deep Kernel Learning (2016) (206)
- Concise Integer Linear Programming Formulations for Dependency Parsing (2009) (189)
- On the Origin of Deep Learning (2017) (185)
- Dynamic mixed membership blockmodel for evolving networks (2009) (183)
- Integrating Document Clustering and Topic Modeling (2013) (183)
- Time-Varying Dynamic Bayesian Networks (2009) (183)
- Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering (2008) (181)
- CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving (2018) (179)
- A multivariate regression approach to association analysis of a quantitative trait network (2008) (177)
- Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks (2008) (175)
- Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream (2010) (174)
- Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction (2014) (173)
- LightLDA: Big Topic Models on Modest Computer Clusters (2014) (172)
- Recurrent Topic-Transition GAN for Visual Paragraph Generation (2017) (171)
- Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation (2018) (162)
- Efficient Exploration via State Marginal Matching (2019) (152)
- Learning Robust Representations by Projecting Superficial Statistics Out (2018) (150)
- Bayesian inference with posterior regularization and applications to infinite latent SVMs (2012) (150)
- Mining Associated Text and Images with Dual-Wing Harmoniums (2005) (149)
- On multiple foreground cosegmentation (2012) (148)
- Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping (2009) (148)
- Exploiting Bounded Staleness to Speed Up Big Data Analytics (2014) (148)
- Turbo Parsers: Dependency Parsing by Approximate Variational Inference (2010) (145)
- Learning Sparse Nonparametric DAGs (2019) (145)
- SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays (2017) (143)
- Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions (2006) (140)
- Discovering Sociolinguistic Associations with Structured Sparsity (2011) (139)
- Dynamic-Structured Semantic Propagation Network (2018) (132)
- An Augmented Lagrangian Approach to Constrained MAP Inference (2011) (130)
- Towards Automated ICD Coding Using Deep Learning (2017) (126)
- Symbolic Graph Reasoning Meets Convolutions (2018) (125)
- Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation (2019) (125)
- Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly (2019) (124)
- Recovering temporally rewiring networks: a model-based approach (2007) (123)
- Managed communication and consistency for fast data-parallel iterative analytics (2015) (122)
- Variance Reduction for Stochastic Gradient Optimization (2013) (122)
- Strategies and Principles of Distributed Machine Learning on Big Data (2015) (121)
- PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification (2017) (120)
- Predictive Subspace Learning for Multi-view Data: a Large Margin Approach (2010) (118)
- FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop (2014) (117)
- Solving the Straggler Problem with Bounded Staleness (2013) (115)
- Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection (2015) (115)
- On Unifying Deep Generative Models (2017) (112)
- High-Performance Distributed ML at Scale through Parameter Server Consistency Models (2014) (111)
- Nonextensive Information Theoretic Kernels on Measures (2009) (109)
- Controllable Text Generation (2017) (109)
- Select-additive learning: Improving generalization in multimodal sentiment analysis (2016) (108)
- KELLER: estimating time-varying interactions between genes (2009) (107)
- BiTAM: Bilingual Topic AdMixture Models for Word Alignment (2006) (105)
- Sparse Topical Coding (2011) (104)
- Stacking Dependency Parsers (2008) (104)
- Addressing the straggler problem for iterative convergent parallel ML (2016) (103)
- On Model Parallelization and Scheduling Strategies for Distributed Machine Learning (2014) (102)
- Bayesian Haplotype Inference via the Dirichlet Process (2007) (99)
- Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso (2010) (99)
- Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning (2017) (98)
- Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks (2011) (97)
- Learning Scalable Deep Kernels with Recurrent Structure (2016) (96)
- Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis (2012) (96)
- Smoothing Proximal Gradient Method for General Structured Sparse Learning (2011) (95)
- From Lasso regression to Feature vector machine (2005) (95)
- Heterogeneous multitask learning with joint sparsity constraints (2009) (93)
- An Adaptive Learning Rate for Stochastic Variational Inference (2013) (93)
- Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data (2018) (93)
- Adaptive Multi-Task Lasso: with Application to eQTL Detection (2010) (93)
- Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective (2010) (91)
- Variance Reduction in Stochastic Gradient Langevin Dynamics (2016) (89)
- Incorporating Word Correlation Knowledge into Topic Modeling (2015) (89)
- Unified analysis of streaming news (2011) (88)
- Learning Data Manipulation for Augmentation and Weighting (2019) (87)
- Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption (2018) (85)
- Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM (2015) (81)
- Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models (2013) (81)
- Target-Guided Open-Domain Conversation (2019) (81)
- Interpretable Structure-Evolving LSTM (2017) (80)
- Large-Scale Category Structure Aware Image Categorization (2011) (80)
- Diversifying Restricted Boltzmann Machine for Document Modeling (2015) (80)
- A Spectral Algorithm for Latent Tree Graphical Models (2011) (80)
- STRADS: a distributed framework for scheduled model parallel machine learning (2016) (79)
- Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text (2011) (78)
- Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio (2018) (78)
- Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification (2017) (78)
- Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos (2014) (76)
- Methods for comparing uncertainty quantifications for material property predictions (2019) (75)
- Discovery of the gene signature for acute lung injury in patients with sepsis. (2009) (75)
- Multi-population GWA mapping via multi-task regularized regression (2010) (74)
- Multimodal Machine Learning for Automated ICD Coding (2018) (73)
- ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations (2019) (73)
- Comparison of normalization methods for CodeLink Bioarray data (2005) (72)
- Deep Generative Models with Learnable Knowledge Constraints (2018) (72)
- Transformation Autoregressive Networks (2018) (72)
- A Neural Architecture for Automated ICD Coding (2018) (71)
- Large Margin Learning of Upstream Scene Understanding Models (2010) (70)
- DiCE: The Infinitely Differentiable Monte-Carlo Estimator (2018) (70)
- HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation (2007) (69)
- Self-Training for Jointly Learning to Ask and Answer Questions (2018) (69)
- Evaluation of normalization methods for cDNA microarray data by k-NN classification (2005) (68)
- A Joint Topic and Perspective Model for Ideological Discourse (2008) (68)
- Easy Questions First? A Case Study on Curriculum Learning for Question Answering (2016) (67)
- Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports (2019) (66)
- Entity Hierarchy Embedding (2015) (64)
- Gated Path Planning Networks (2018) (64)
- Sparsistent Learning of Varying-coefficient Models with Structural Changes (2009) (63)
- Infinite Latent SVM for Classification and Multi-task Learning (2011) (63)
- Logos: a Modular Bayesian Model for de Novo Motif Detection (2004) (63)
- A Nonparametric Mixture Model for Topic Modeling over Time (2012) (63)
- Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines (2011) (62)
- Maximum Entropy Discrimination Markov Networks (2009) (62)
- Feature selection for grasp recognition from optical markers (2007) (62)
- Learning Answer-Entailing Structures for Machine Comprehension (2015) (62)
- Conditional Topic Random Fields (2010) (61)
- AD3: alternating directions dual decomposition for MAP inference in graphical models (2015) (61)
- Contextual Explanation Networks (2017) (60)
- Estimating networks with jumps. (2010) (60)
- Bayesian Nonparametric Kernel-Learning (2015) (60)
- Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning (2020) (59)
- Deep Neural Networks with Massive Learned Knowledge (2016) (58)
- A latent mixed membership model for relational data (2005) (58)
- Community Level Diffusion Extraction (2015) (57)
- Stochastic Block Models of Mixed Membership (2006) (57)
- Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder (2018) (56)
- The Human Kernel (2015) (56)
- Multi-Modal Distance Metric Learning (2013) (55)
- Image Segmentation with Topic Random Field (2010) (54)
- Real-to-Virtual Domain Unification for End-to-End Autonomous Driving (2018) (53)
- Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning (2020) (52)
- Generative Semantic Manipulation with Contrasting GAN (2017) (52)
- Explaining a black-box using Deep Variational Information Bottleneck Approach (2019) (52)
- Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation (2007) (51)
- Structured Generative Adversarial Networks (2017) (50)
- Automatic mining of fruit fly embryo images (2006) (50)
- SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation (2017) (50)
- Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs (2012) (50)
- Toward Understanding the Impact of Staleness in Distributed Machine Learning (2018) (50)
- Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines (2015) (49)
- Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms (2020) (49)
- Regularizing Black-box Models for Improved Interpretability (2019) (48)
- Towards an Integration of Text and Graph Clustering Methods as a Lens for Studying Social Interaction in MOOCs (2014) (48)
- Text Infilling (2019) (47)
- Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition (2017) (47)
- Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture (2006) (46)
- Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data (2015) (46)
- Mapping the geographical diffusion of new words (2012) (45)
- Generative Semantic Manipulation with Mask-Contrasting GAN (2018) (45)
- Efficient Correlated Topic Modeling with Topic Embedding (2017) (45)
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling (2020) (45)
- ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation (2018) (44)
- A Multiscale Community Blockmodel for Network Exploration (2011) (44)
- Kernel Embeddings of Latent Tree Graphical Models (2011) (43)
- Bayesian haplo-type inference via the dirichlet process (2004) (42)
- Progressive Generation of Long Text with Pretrained Language Models (2021) (42)
- MotifPrototyper: A Bayesian profile model for motif families (2004) (41)
- A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences (2002) (41)
- Fast Distribution To Real Regression (2013) (41)
- Machine Comprehension using Rich Semantic Representations (2016) (41)
- Grafting-light: fast, incremental feature selection and structure learning of Markov random fields (2010) (41)
- Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation (2019) (41)
- Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines (2013) (40)
- Harmonium Models for Semantic Video Representation and Classification (2007) (39)
- Domain Adaption in One-Shot Learning (2018) (39)
- DTR-GAN: dilated temporal relational adversarial network for video summarization (2018) (39)
- Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature (2009) (38)
- Select-Additive Learning: Improving Cross-individual Generalization in Multimodal Sentiment Analysis (2016) (38)
- Online Learning of Structured Predictors with Multiple Kernels (2011) (38)
- Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms (2014) (38)
- Sparse Output Coding for Large-Scale Visual Recognition (2013) (38)
- Polyhedral outer approximations with application to natural language parsing (2009) (37)
- An E-cient Proximal Gradient Method for General Structured Sparse Learning (2010) (37)
- Litz: Elastic Framework for High-Performance Distributed Machine Learning (2018) (37)
- They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers (2016) (37)
- Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms (2017) (37)
- Structured correspondence topic models for mining captioned figures in biological literature (2009) (37)
- Symmetric Correspondence Topic Models for Multilingual Text Analysis (2012) (36)
- TopicViz: interactive topic exploration in document collections (2012) (36)
- Network Completion and Survey Sampling (2009) (36)
- State Space LSTM Models with Particle MCMC Inference (2017) (36)
- Kernel methods for large-scale genomic data analysis (2015) (35)
- On Sparse Nonparametric Conditional Covariance Selection (2010) (35)
- Petuum: A Framework for Iterative-Convergent Distributed ML (2013) (35)
- Document hierarchies from text and links (2012) (35)
- SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images (2010) (35)
- Hierarchical Tensor Decomposition of Latent Tree Graphical Models (2013) (35)
- Exploiting iterative-ness for parallel ML computations (2014) (35)
- Group Sparse Additive Models (2012) (34)
- The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling (2014) (34)
- ZM-Net: Real-time Zero-shot Image Manipulation Network (2017) (34)
- What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks (2018) (33)
- PathVQA: 30000+ Questions for Medical Visual Question Answering (2020) (33)
- Social Links from Latent Topics in Microblogs (2010) (32)
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning (2022) (32)
- Feature Selection in Microarray Analysis (2003) (32)
- An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity (2010) (32)
- Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation (2021) (31)
- Dynamic Language Models for Streaming Text (2014) (31)
- Neural Architecture Search for Adversarial Medical Image Segmentation (2019) (31)
- Learning GMRF Structures for Spatial Priors (2007) (31)
- Uncorrelation and Evenness: a New Diversity-Promoting Regularizer (2017) (31)
- A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks (2013) (30)
- Graph Partition Strategies for Generalized Mean Field Inference (2004) (30)
- Nonextensive entropic kernels (2008) (30)
- Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process a (2008) (30)
- TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages (2011) (29)
- Diversity-Promoting Bayesian Learning of Latent Variable Models (2016) (29)
- Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images (2018) (29)
- Query-Conditioned Three-Player Adversarial Network for Video Summarization (2018) (29)
- Scalable and Sound Low-Rank Tensor Learning (2016) (28)
- A HIERARCHICAL DIRICHLET PROCESS MIXTURE MODEL FOR HAPLOTYPE RECONSTRUCTION FROM MULTI-POPULATION DATA (2008) (28)
- Spectral Unsupervised Parsing with Additive Tree Metrics (2014) (28)
- Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model (2007) (28)
- Effects of Sample Selection Bias on the Accuracy of Population Structure and Ancestry Inference (2014) (28)
- Technology readiness levels for machine learning systems (2020) (28)
- Minimizing Nonconvex Non-Separable Functions (2015) (28)
- Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling (2018) (28)
- Partially Observed Maximum Entropy Discrimination Markov Networks (2008) (27)
- AutoLoss: Learning Discrete Schedules for Alternate Optimization (2018) (27)
- Graph estimation from multi-attribute data (2012) (27)
- Towards Principled Disentanglement for Domain Generalization (2021) (27)
- mStruct: Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations (2009) (26)
- Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models (2007) (26)
- On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System (2016) (26)
- Gene expression profiling of asthma phenotypes demonstrates molecular signatures of atopy and asthma control. (2016) (26)
- Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces (2015) (26)
- Generalized Zero-Shot Text Classification for ICD Coding (2020) (25)
- On the Generation of Medical Dialogues for COVID-19 (2020) (25)
- Fast Function to Function Regression (2014) (25)
- Spatial compactness meets topical consistency: jointly modeling links and content for community detection (2014) (25)
- On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization (2015) (25)
- Learning Concept Taxonomies from Multi-modal Data (2016) (24)
- Fault Tolerance in Iterative-Convergent Machine Learning (2018) (24)
- Consistent Covariance Selection From Data With Missing Values (2012) (24)
- Distributed Machine Learning via Sufficient Factor Broadcasting (2015) (24)
- Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis (2006) (24)
- Sparsistent Estimation of Time-Varying Discrete Markov Random Fields (2009) (24)
- Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering (2018) (24)
- Science Question Answering using Instructional Materials (2016) (23)
- Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications (2018) (23)
- On Time Varying Undirected Graphs (2011) (23)
- Connecting the Dots Between MLE and RL for Sequence Generation (2018) (23)
- A Mixture Model of Demographic Lexical Variation (2011) (23)
- Laplace maximum margin Markov networks (2008) (23)
- Estimating sparse precision matrices from data with missing values (2012) (23)
- Iterative Graph Self-Distillation (2020) (23)
- Modeling and Analysis of Dynamic Behaviors of Web Image Collections (2010) (23)
- CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing (2008) (22)
- A Spectral Algorithm for Latent Junction Trees (2012) (22)
- Learning Latent Space Models with Angular Constraints (2017) (22)
- Deep Determinantal Point Process for Large-Scale Multi-label Classification (2017) (22)
- Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation (2018) (22)
- Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space (2006) (22)
- Monte Carlo Methods for Maximum Margin Supervised Topic Models (2012) (22)
- Time-sensitive web image ranking and retrieval via dynamic multi-task regression (2013) (22)
- Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters (2017) (22)
- Robust Estimation of Local Genetic Ancestry in Admixed Populations Using a Nonparametric Bayesian Approach (2012) (21)
- Hidden Markov Dirichlet process: modeling genetic inference in open ancestral space (2007) (21)
- MLSys: The New Frontier of Machine Learning Systems (2019) (21)
- Closed-Form Training of Mahalanobis Distance for Supervised Clustering (2016) (21)
- Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis (2018) (21)
- LOGOS: a modular Bayesian model for de novo motif detection (2003) (21)
- Visual Explanations for Convolutional Neural Networks via Input Resampling (2017) (20)
- Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems (2018) (20)
- Structured literature image finder: Parsing text and figures in biomedical literature (2010) (20)
- SysML: The New Frontier of Machine Learning Systems (2019) (20)
- Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies (2017) (20)
- BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes (2008) (19)
- On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks (2012) (19)
- Grounding Topic Models with Knowledge Bases (2016) (19)
- Improving GAN Training with Probability Ratio Clipping and Sample Reweighting (2020) (19)
- TVNViewer: An interactive visualization tool for exploring networks that change over time or space (2011) (19)
- ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization (2019) (19)
- Integrating Image Clustering and Codebook Learning (2015) (18)
- Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks (2017) (18)
- DISCOVER: a feature-based discriminative method for motif search in complex genomes (2009) (18)
- Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images (2019) (18)
- Time-Varying Networks: Recovering Temporally Rewiring Genetic Networks During the Life Cycle of Drosophila melanogaster (2008) (18)
- Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers (2006) (18)
- An Active Learning Approach to Coreference Resolution (2015) (18)
- Text Generation with Efficient (Soft) Q-Learning (2021) (18)
- Enhanced max margin learning on multimodal data mining in a multimedia database (2007) (18)
- On Topic Evolution (2005) (18)
- Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting (2016) (18)
- WGAN domain adaptation for the joint optic disc-and-cup segmentation in fundus images (2020) (17)
- Markov Network Estimation From Multi-attribute Data (2013) (17)
- Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data (2014) (17)
- Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering (2019) (17)
- From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems (2017) (17)
- GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning (2021) (17)
- Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures (2018) (17)
- Online Multiple Kernel Learning for Structured Prediction (2010) (17)
- Unsupervised Real-to-Virtual Domain Unification for End-to-End Highway Driving (2018) (17)
- Mining User Interests from Personal Photos (2015) (17)
- Screening Rules for Overlapping Group Lasso (2014) (16)
- Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space (2022) (16)
- Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach (2020) (16)
- Fast structure learning in generalized stochastic processes with latent factors (2013) (16)
- Progressive Generation of Long Text (2020) (16)
- Cavs: An Efficient Runtime System for Dynamic Neural Networks (2018) (16)
- Spectrum: joint bayesian inference of population structure and recombination events (2007) (16)
- Convolutional Neural Networks for Medical Diagnosis from Admission Notes (2017) (15)
- Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning (2017) (15)
- Semi-Supervised Learning Based on Semiparametric Regularization (2008) (15)
- GINI: From ISH Images to Gene Interaction Networks (2013) (15)
- A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits (2016) (15)
- Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation (2022) (15)
- MoGUL: Detecting Common Insertions and Deletions in a Population (2010) (15)
- Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models (2014) (14)
- Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap (2011) (14)
- Supervised Adversarial Alignment of Single-Cell RNA-seq Data (2020) (14)
- A Constituent-Centric Neural Architecture for Reading Comprehension (2017) (14)
- Embarrassingly Parallel Variational Inference in Nonconjugate Models (2015) (14)
- Dependent nonparametric trees for dynamic hierarchical clustering (2014) (14)
- TopicViz: Semantic Navigation of Document Collections (2011) (13)
- Web image prediction using multivariate point processes (2012) (13)
- Block Regularized Lasso for Multivariate Multi-Response Linear Regression (2013) (13)
- A Max Margin Framework on Image Annotation and Multimodal Image Retrieval (2007) (13)
- Efficient Multiple Instance Metric Learning Using Weakly Supervised Data (2017) (13)
- Personalized regression enables sample-specific pan-cancer analysis (2018) (13)
- AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning (2020) (13)
- Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms (2018) (13)
- Learning Structured Classifiers with Dual Coordinate Ascent (2010) (13)
- Prototypical Graph Contrastive Learning (2021) (13)
- Consistent Bounded-Asynchronous Parameter Servers for Distributed ML (2013) (13)
- Discovering Demographic Language Variation (2010) (13)
- Primitives for Dynamic Big Model Parallelism (2014) (13)
- Primal sparse Max-margin Markov networks (2009) (12)
- Visualizing brand associations from web community photos (2014) (12)
- Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm (2014) (12)
- Collective Support Recovery for Multi-Design Multi-Response Linear Regression (2015) (12)
- Exact Algorithms for Isotonic Regression and Related (2016) (12)
- Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory (2019) (12)
- Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design (2018) (12)
- TopicScape: Semantic Navigation of Document Collections (2011) (12)
- Alternating Directions Dual Decomposition (2012) (12)
- Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with polynomial functions (2016) (12)
- Bilingual Word Spectral Clustering for Statistical Machine Translation (2005) (12)
- Learning from Imperfect Annotations (2020) (11)
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation (2021) (11)
- Understanding the Interaction between Interests, Conversations and Friendships in Facebook (2012) (11)
- Augmenting Dual Decomposition for MAP Inference (2010) (11)
- Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel (2016) (11)
- GenAMap: Visualization strategies for structured association mapping (2011) (11)
- mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations (2008) (11)
- Predicting Discharge Medications at Admission Time Based on Deep Learning (2017) (11)
- Missing Value Imputation Based on Deep Generative Models (2018) (11)
- On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks (2020) (10)
- Modeling Citation Networks Using Latent Random Offsets (2014) (10)
- On primal and dual sparsity of Markov networks (2009) (10)
- Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records (2018) (10)
- Learning Sample-Specific Models with Low-Rank Personalized Regression (2019) (10)
- Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography (2021) (10)
- Improved Estimation of High-dimensional Ising Models (2008) (10)
- A Fast Knowledge Distillation Framework for Visual Recognition (2021) (10)
- Mixed membership analysis of high-throughput interaction studies: Relational data (2007) (10)
- Near-Orthogonality Regularization in Kernel Methods (2017) (10)
- Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition (2017) (10)
- Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies (2019) (10)
- Data-to-Text Generation with Style Imitation (2019) (10)
- On Data Efficiency of Meta-learning (2021) (10)
- Dilated temporal relational adversarial network for generic video summarization (2018) (9)
- Towards Visual Question Answering on Pathology Images (2021) (9)
- A network-driven approach for genome-wide association mapping (2016) (9)
- Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks (2020) (9)
- Feature Selection via Block-Regularized Regression (2008) (9)
- BertNet: Harvesting Knowledge Graphs from Pretrained Language Models (2022) (9)
- Sliced Recursive Transformer (2021) (9)
- Language Modeling with Power Low Rank Ensembles (2013) (9)
- Large-scale Distributed Dependent Nonparametric Trees (2015) (9)
- Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation (2022) (9)
- Mixed membership analysis of genome-wide expression data (2007) (9)
- Harmonium Models for Video Classification (2008) (8)
- CryptGraph: Privacy Preserving Graph Analytics on Encrypted Graph (2014) (8)
- Restricting exchangeable nonparametric distributions (2012) (8)
- On the Complexity of Exploration in Goal-Driven Navigation (2018) (8)
- Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization (2015) (8)
- Pathological Visual Question Answering (2020) (8)
- Toward Unsupervised Text Content Manipulation (2019) (8)
- Bayesian Inference with Posterior Regularization and Infinite Latent Support Vector Machines (2012) (8)
- Hierarchical Feature Hashing for Fast Dimensionality Reduction (2014) (8)
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language (2019) (8)
- Adversarial Domain Adaptation Being Aware of Class Relationships (2019) (8)
- Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning (2014) (8)
- Computational catalyst discovery: Active classification through myopic multiscale sampling. (2021) (8)
- Can Transformers be Strong Treatment Effect Estimators? (2022) (8)
- Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species (2020) (7)
- Generalized Zero-shot ICD Coding (2019) (7)
- Connecting the Dots Between MLE and RL for Sequence Prediction (2019) (7)
- Ensembles of Lasso Screening Rules (2018) (7)
- Asynchronous Parallel Block-Coordinate Frank-Wolfe (2014) (7)
- Linear Time Samplers for Supervised Topic Models using Compositional Proposals (2015) (7)
- Nonoverlap-Promoting Variable Selection (2018) (7)
- Model-Parallel Inference for Big Topic Models (2014) (7)
- Post-Inference Prior Swapping (2016) (7)
- Cauchy Principal Component Analysis (2014) (7)
- Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach (2010) (7)
- Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning (2018) (7)
- Discovering Pictorial Brand Associations from Large-Scale Online Image Data (2013) (7)
- Admixtures of latent blocks with application to protein interaction networks (2007) (6)
- Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices (2016) (6)
- Distributed, partially collapsed MCMC for Bayesian Nonparametrics (2020) (6)
- Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning (2016) (6)
- Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features (2021) (6)
- StructHDP: automatic inference of number of clusters and population structure from admixed genotype data (2011) (6)
- SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data (2016) (6)
- Scalable Dynamic Nonparametric Bayesian Models of Content and Users (2013) (6)
- Structured association analysis leads to insight into Saccharomyces cerevisiae gene regulation by finding multiple contributing eQTL hotspots associated with functional gene modules (2013) (6)
- Enabling dynamic network analysis through visualization in TVNViewer (2012) (6)
- GWAS in a Box: Statistical and Visual Analytics of Structured Associations via GenAMap (2014) (6)
- Approximating Correlated Equilibria using Relaxations on the Marginal Polytope (2011) (6)
- STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model (2019) (6)
- Structured Databases of Named Entities from Bayesian Nonparametrics (2011) (6)
- The Intriguing Properties of Model Explanations (2018) (6)
- Inferring regulatory networks using a hierarchical Bayesian graphical Gaussian model (2005) (5)
- Deep Belief Nets for Topic Modeling Workshop on Knowledge-Powered Deep Learning for Text Mining (KPDLTM-2014) (2015) (5)
- Predicting protein folds with structural repeats using a chain graph model (2005) (5)
- Multi-Level Structured Image Coding on High-Dimensional Image Representation (2012) (5)
- Knowledge-Aware Meta-learning for Low-Resource Text Classification (2021) (5)
- Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation (2021) (5)
- MPCFormer: fast, performant and private Transformer inference with MPC (2022) (5)
- Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching (2018) (5)
- Word Shape Matters: Robust Machine Translation with Visual Embedding (2020) (5)
- A penalized regression model for the joint estimation of eQTL associations and gene network structure (2019) (5)
- Community Specific Temporal Topic Discovery from Social Media (2013) (5)
- Sparse Output Coding for Scalable Visual Recognition (2016) (5)
- GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data (2007) (5)
- Towards robust partially supervised multi-structure medical image segmentation on small-scale data (2020) (5)
- Dynamic Nonparametric Bayesian Models And the Birth-Death Process (2006) (5)
- Fair Deep Learning Prediction for Healthcare Applications with Confounder Filtering (2018) (5)
- Bayesian Exponential Family Harmoniums (2004) (5)
- Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (2017) (5)
- C-DEM: a multi-modal query system for Drosophila Embryo databases (2008) (5)
- Conditional topical coding: an efficient topic model conditioned on rich features (2011) (5)
- Multiplex Confounding Factor Correction for Genomic Association Mapping with Squared Sparse Linear Mixed Model (2017) (5)
- Population Stratification with Mixed Membership Models (2014) (5)
- The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization (2022) (5)
- On the Generation of Medical Dialogs for COVID-19 (2021) (5)
- Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system (2012) (5)
- Inferring Gene Interaction Networks from ISH Images via Kernelized Graphical Models (2012) (4)
- The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models (2018) (4)
- DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering (2021) (4)
- Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming (2022) (4)
- Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types (2021) (4)
- Analyzing Time-Evolving Networks using an Evolving Cluster Mixed Membership Blockmodel (2014) (4)
- ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models (2022) (4)
- Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets (2018) (4)
- Record-to-Text Generation with Style Imitation (2020) (4)
- Latent Space Inference of Internet-Scale Networks (2016) (4)
- Proceedings of the 31st International Conference on International Conference on Machine Learning - Volume 32 (2014) (4)
- NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources (2013) (4)
- Large Scale Distributed Distance Metric Learning (2014) (4)
- DAGs with NO TEARS: Smooth Optimization for Structure Learning (2018) (4)
- Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion (2022) (4)
- Learning from All Types of Experiences: A Unifying Machine Learning Perspective (2020) (4)
- Big Data: New Paradigm or "Sound and Fury, Signifying Nothing"? (2015) (4)
- Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with multiple exponential functions (2015) (4)
- Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks (2017) (3)
- Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification (2019) (3)
- Backward genotype-transcript-phenotype association mapping. (2017) (3)
- Analyzing Time-Evolving Networks (2014) (3)
- Structured Input-Output Lasso, with Application to eQTL Mapping, and a Thresholding Algorithm for Fast Estimation (2012) (3)
- A Data-Centric Framework for Composable NLP Workflows (2020) (3)
- Nonparametric decision making based on tree-structured information aggregation (2011) (3)
- Squared 𝓁2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations (2020) (3)
- Timelines : Recovering Birth and Evolution of Topics In Scientific Literature Using Dynamic Non-Parametric Bayesian Models (2009) (3)
- Parsing to Programs: A Framework for Situated QA (2018) (3)
- The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning (2022) (3)
- Max margin learning on domain-independent web information extraction (2011) (3)
- Personalized Survival Prediction with Contextual Explanation Networks (2018) (3)
- Exact and Efficient Parallel Inference for Nonparametric Mixture Models (2012) (3)
- Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version) (2019) (3)
- Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks (2010) (3)
- Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association Studies (2017) (3)
- SDQ: Stochastic Differentiable Quantization with Mixed Precision (2022) (3)
- On the Scalability and Adaptability for Multimodal Retrieval and Annotation (2007) (3)
- Learning Less-Overlapping Representations (2017) (3)
- Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation (2022) (3)
- A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space (2007) (2)
- Dropout as a Regularizer of Interaction Effects (2020) (2)
- Automatic discovery of sub-molecular sequence domains in multi-aligned sequences: a dynamic programming algorithm for multiple alignment segmentation. (2000) (2)
- Structured Literature Image Finder (2009) (2)
- Probabilistic Graphical Models-Theory, Algorithm, and Application (2007) (2)
- MedLDA: A General Framework of Maximum Margin Supervised Topic Models (2009) (2)
- Stochastic Neural Networks with Infinite Width are Deterministic (2022) (2)
- Deep Inductive Matrix Completion for Biomedical Interaction Prediction (2019) (2)
- Scalable Time-Decaying Adaptive Prediction Algorithm (2016) (2)
- An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations (2015) (2)
- Techniques for proving Asynchronous Convergence results for Markov Chain Monte Carlo methods (2017) (2)
- Structured probabilistic models of proteins across spatial and fitness landscapes (2011) (2)
- Betty: An Automatic Differentiation Library for Multilevel Optimization (2022) (2)
- SysML: On System and Algorithm Co-design for Practical Machine Learning (2018) (2)
- Exploiting Genome Structure in Association Analysis (2014) (2)
- Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus (2012) (2)
- Aggressive Online Learning of Structured Classifiers (2010) (2)
- Hybrid Subspace Learning for High-Dimensional Data (2018) (2)
- Discriminative Subtyping of Lung Cancers from Histopathology Images via Contextual Deep Learning (2020) (2)
- Recurrent Estimation of Distributions (2017) (2)
- Multi-task Learning of Order-Consistent Causal Graphs (2021) (2)
- Federated Partially Supervised Learning with Limited Decentralized Medical Images. (2022) (2)
- MixMask: Revisiting Masked Siamese Self-supervised Learning in Asymmetric Distance (2022) (2)
- Learning from Mistakes - A Framework for Neural Architecture Search (2021) (2)
- A Gene Expression Signature Of Poor Asthma Control From Peripheral Blood CD4+ Lymphocytes (2010) (1)
- Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso (2013) (1)
- Standardized Tests as benchmarks for Artificial Intelligence (2018) (1)
- Poseidon : An Efficient Communication Interface for Distributed Deep Learning on GPU Clusters (2017) (1)
- Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels (2020) (1)
- Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets (2021) (1)
- Enabling dynamic network analysis through visualization in TVNViewer (2012) (1)
- Bayesian Inference with Posterior Regularization and Infinite Latent SVMs (2012) (1)
- Structured Sparse Regression Methods for Learning from High-Dimensional Genomic Data (2021) (1)
- Artificial selection experiments for association in model organisms (2012) (1)
- SMPFRAME : A Distributed Framework for Scheduled Model Parallel Machine Learning (2015) (1)
- Efficient (Soft) Q-Learning for Text Generation with Limited Good Data (2021) (1)
- Data-Free Neural Architecture Search via Recursive Label Calibration (2021) (1)
- Learning from Imperfect Annotations: An End-to-End Approach (2019) (1)
- Panoramic Learning with A Standardized Machine Learning Formalism (2021) (1)
- March 1 , 2010 DRAFT Learning Structured Classifiers with Dual Coordinate Descent (2010) (1)
- Masked Generative Adversarial Networks are Data-Efficient Generation Learners (2022) (1)
- Trade-offs of Linear Mixed Models in Genome-Wide Association Studies (2022) (1)
- Consistency for Fast Data-Parallel Iterative Analytics (2015) (1)
- Supervised Probabilistic Robust Embedding with Sparse Noise (2012) (1)
- An Efficient Proximal Gradient Method for General Structured Structured Sparse Learning (2010) (1)
- Prior Swapping for Data-Independent Inference (2016) (1)
- Sparse Variable Selection on High Dimensional Heterogeneous Data with Tree Structured Responses (2017) (1)
- Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction (2019) (1)
- Conditional graphical models for protein structure prediction (2006) (1)
- AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness (2022) (1)
- Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification (2021) (1)
- Toward a 'Standard Model' of Machine Learning (2021) (1)
- Capturing characteristic structural features for motif detection using a hierarchical Bayesian Markovian model (2007) (1)
- Large Scale Distributed Multiclass Logistic Regression (2014) (1)
- Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity (2022) (1)
- Discourse in Multimedia: A Case Study in Information Extraction (2018) (1)
- Dynamic Scheduling For Dynamic Control Flow in Deep Learning Systems (2018) (1)
- Differentiable Expected BLEU for Text Generation (2018) (1)
- Discriminative Training of Mixed Membership Models (2014) (1)
- Bayesian Nonparametrics : Dirichlet Processes (2014) (1)
- Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity (2013) (1)
- On Optimizing the Communication of Model Parallelism (2022) (1)
- Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach (2023) (1)
- PLOS ONE: Diffusion of Lexical Change in Social Media (2015) (1)
- Sparse sensor selection for nonparametric decentralized detection via L1 regularization (2014) (1)
- Proceedings for 20th Annual Conference on Neural Information Processing Systems (NIPS) (2015) (1)
- Spectrum A software for inferring population structure and recombination events (2008) (0)
- Expeditious Saliency-guided Mix-up through Random Gradient Thresholding (2022) (0)
- M L ] 3 0 Ja n 20 18 Bayesian Nonparametric Kernel-Learning (2018) (0)
- 15 : Mean Field Approximation and Topic Models (2014) (0)
- Advanced Machine Learning for Healthcare (2016) (0)
- Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid (2021) (0)
- Smooth Kernels Improve Adversarial Robustness and Perceptually-Aligned Gradients (2019) (0)
- Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system (2012) (0)
- Transforming Growth Factor Beta-1 Is Associated With Pulmonary Function In A Longitudinal Genome Wide Association Analysis Of Asthma Severity Traits (2012) (0)
- A dynamic theory of social failure in isolated communities (2007) (0)
- Proceedings of the 2006 conference on Statistical network analysis (2006) (0)
- 10-701 / 15-781 , Machine Learning : Homework 4 (2010) (0)
- A Survey of cDNA Microarray Normalization and a Comparison by k-NN Classification (2008) (0)
- Supplemental for Spectral Algorithm For Latent Tree Graphical Models (2012) (0)
- 20 : Hierarchical Dirichlet Processes (2014) (0)
- Discovering weaker genetic associations guided by known associations (2020) (0)
- 29 : Posterior Regularization (2014) (0)
- Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful (2018) (0)
- Supplementary Material : Deep Kernel Learning (2016) (0)
- 10-708 : Probabilistic Graphical Models , Spring 2015 27 : Case study with popular GM III (2015) (0)
- Web Semantics: Science, Services and Agents on the World Wide Web (2010) (0)
- Scaling HDBSCANClusteringwith kNNGraph Approximation (2018) (0)
- A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction (2017) (0)
- StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields (2023) (0)
- Probabilistic Graphical Models , Spring 2020 24 : Indian Buffet Process (2020) (0)
- 2 Background Review 2 . 1 Inference Problem (2016) (0)
- Probabilistic Graphical Models , Spring 2015 4 : Parameter Estimation in Fully Observed BNs (2015) (0)
- Learning Time-Varying Graphs using Temporally Smoothed L 1-Regularized Logistic Regression (2008) (0)
- Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums (2015) (0)
- The Algorithmic Details of Tractable MFC (2012) (0)
- Cuttlefish: Low-rank Model Training without All The Tuning (2023) (0)
- More Effective Distributed ML via a Structure-Aware Dynamic Scheduler (2013) (0)
- A Spectral Algorithm For Latent Junction Trees-Supplementary Material (2012) (0)
- Discovering weaker genetic associations guided by known associations (2020) (0)
- 3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds (2023) (0)
- Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting (2015) (0)
- Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation (2021) (0)
- Lecture 20: Reinforcement Learning and Control Through Inference in GM (2020) (0)
- Structured association analysis leads to insight into Saccharomyces cerevisiaegene regulation by finding multiple contributing eQTL hotspots associated with functional gene modules (2013) (0)
- MRCLens: an MRC Dataset Bias Detection Toolkit (2022) (0)
- MixMask: Revisiting Masking Strategy for Siamese ConvNets (2022) (0)
- Structured Generative Adversarial Networks 1 (2017) (0)
- KD-DLGAN: Data Limited Image Generation via Knowledge Distillation (2023) (0)
- Kernel Mixed Model for Transcriptome Association Study (2022) (0)
- Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity (2012) (0)
- Supplementary Materials: Sliced Recursive Transformer (2022) (0)
- Memory-adaptive Depth-wise Heterogenous Federated Learning (2023) (0)
- Training Larger Models on TensorFlow without Additional GPU (2019) (0)
- DICE: THE INFINITELY DIFFERENTIABLE MONTE (2018) (0)
- Stability Selection for Structured Variable Selection (2017) (0)
- Does compressing activations help model parallel training? (2023) (0)
- Coupled Mixed Model for joint genetic analysis of complex disorders from independently collected data sets: application to Alzheimer's disease and substance use disorder (2018) (0)
- Collapsed Variational Inference for Time-varying Dirichlet Process Mixture Models (2009) (0)
- XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports (2020) (0)
- Genome-Phenome Association Analysis of Complex Diseases a Structured Sparse Regression Approach - (Keynote Talk) (2011) (0)
- 21 : the Indian Buffet Process 2 Latent Feature Models 2.1 Infinite Latent Feature Models (2014) (0)
- Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning (2022) (0)
- Validate and Enable Machine Learning in Industrial AI (2020) (0)
- 3: Representation of Undirected Gm (2015) (0)
- A New Nonparametric Bayesian Model for Genetic Inference in Open Ancestral Space (2006) (0)
- Scalable GP-LSTMs with Semi-Stochastic Gradients (2016) (0)
- Scalable Overlapping Community Detection in Internet-Scale Networks (2014) (0)
- Socioscape: Real-Time Analysis of Dynamic Heterogeneous Networks In Complex Socio-Cultural Systems (2015) (0)
- Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model (2022) (0)
- Sample Complexity of Nonparametric Semi-Supervised Learning (2018) (0)
- 13 15 4 v 1 [ cs . C L ] 2 8 Se p 20 19 Generalized Zero-shot ICD Coding (2019) (0)
- Toward Controllable Text Content Manipulation (2019) (0)
- A PROXIMITY OPERATORS AND MOREAU PROJECTIONS (2011) (0)
- Graph partition strategies for generalized mean eldinferen (2003) (0)
- Probabilistic Graphical Models , Spring 2020 11 : Foundations of Deep Learning (2020) (0)
- Information Theory (2008) (0)
- AUTODIST: A COMPOSABLE AND AUTOMATED SYNCHRONIZATION SYSTEM FOR DISTRIBUTED DEEP LEARNING (2021) (0)
- Structured Max Margin Learning on Image Annotation and Multimodal Image Retrieval (2010) (0)
- Tradeoffs of Linear Mixed Models in Genome-wide Association Studies (2021) (0)
- NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters (2021) (0)
- STRADS-AP: Simplifying Distributed Machine Learning Programming (2018) (0)
- Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling (2016) (0)
- Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space (2022) (0)
- Differential Principal Components Reveal Patterns of Differentiation in Case/Control Studies (2019) (0)
- Proceedings of the {ICML} Workshop on Learning in Structured Output Spaces (2006) (0)
- ParLearning Keynote (2014) (0)
- 0 : Gaussian Graphical Models and Ising Models: Modeling Networks 2 Structural Learning for Completely Observed Graphical Models 2.1 Gaussian Graphical Models (2015) (0)
- Study of Deep Generative Models : Text Generation (2020) (0)
- Latent Aspects Analysis : From Independence to Contagion (2006) (0)
- Disentangling Increased Testing From Covid-19 Epidemic Spread (2020) (0)
- Genetic Population Structure in Pacific Islanders (2010) (0)
- Probabilistic Graphical Models , Spring 2015 2 : Directed GMs : Bayesian Networks (2015) (0)
- M L ] 2 0 A pr 2 01 3 Graph Estimation From Multi-attribute Data (2013) (0)
- Consistency Models for Distributed ML with Theoretical Guarantees (2013) (0)
- Graphical Induced Structured Input-Output Methods (2014) (0)
- Supplementary Material for: Spectral Unsupervised Parsing with Additive Tree Metrics (2011) (0)
- Structure-Aware Dynamic Scheduler for Parallel Machine Learning (2013) (0)
- Toward personalized pan-omic association analysis under complex structures and big data (2015) (0)
- Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks (2019) (0)
- Learning ancestral genetic processes using nonparametric bayesian models (2011) (0)
- Sparse Output Coding for Scalable Visual Recognition (2015) (0)
- Models 10-708 , Spring 2014 27 : Distributed Monte Carlo Markov Chain (2014) (0)
- Dependent nonparametric trees for dynamic hierarchical clustering : Supplementary material (2014) (0)
- Nonparametric decentralized detection based on weighted count kernel (2012) (0)
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