Rong Jin
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Computer Science
Rong Jin's Degrees
- Bachelors Computer Science University of Science and Technology of China
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(Suggest an Edit or Addition)Rong Jin'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
- Understanding bag-of-words model: a statistical framework (2010) (854)
- Distance Metric Learning: A Comprehensive Survey (2006) (668)
- Active Learning by Querying Informative and Representative Examples (2010) (574)
- Batch mode active learning and its application to medical image classification (2006) (478)
- Combining link and content for community detection: a discriminative approach (2009) (363)
- An automatic weighting scheme for collaborative filtering (2004) (350)
- Discriminative Semi-Supervised Feature Selection Via Manifold Regularization (2009) (347)
- SemiBoost: Boosting for Semi-Supervised Learning (2009) (334)
- Learning with Multiple Labels (2002) (319)
- Unifying discriminative visual codebook generation with classifier training for object category recognition (2008) (313)
- Detecting communities and their evolutions in dynamic social networks—a Bayesian approach (2011) (308)
- Simple and Efficient Multiple Kernel Learning by Group Lasso (2010) (288)
- Large-scale text categorization by batch mode active learning (2006) (266)
- Multiple Kernel Learning for Visual Object Recognition: A Review (2014) (254)
- SoftTriple Loss: Deep Metric Learning Without Triplet Sampling (2019) (248)
- On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization (2019) (247)
- Correlated Label Propagation with Application to Multi-label Learning (2006) (246)
- Speedup Matrix Completion with Side Information: Application to Multi-Label Learning (2013) (246)
- Online Feature Selection and Its Applications (2014) (245)
- Tag Completion for Image Retrieval (2013) (242)
- Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM (2017) (239)
- On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering (2005) (232)
- Online AUC Maximization (2011) (218)
- Online Optimization with Gradual Variations (2012) (206)
- Trading regret for efficiency: online convex optimization with long term constraints (2011) (206)
- Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization (2006) (204)
- A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval (2010) (198)
- An Extended Level Method for Efficient Multiple Kernel Learning (2008) (197)
- Regularized Distance Metric Learning: Theory and Algorithm (2009) (194)
- Learning to Rank by Optimizing NDCG Measure (2009) (193)
- Semi-supervised SVM batch mode active learning for image retrieval (2008) (191)
- Exclusive Lasso for Multi-task Feature Selection (2010) (189)
- Multi-label learning with incomplete class assignments (2011) (189)
- Approximate kernel k-means: solution to large scale kernel clustering (2011) (179)
- Semisupervised SVM batch mode active learning with applications to image retrieval (2009) (176)
- An Efficient Algorithm for Local Distance Metric Learning (2006) (166)
- One-Pass AUC Optimization (2013) (153)
- Effective automatic image annotation via a coherent language model and active learning (2004) (152)
- Fine-grained visual categorization via multi-stage metric learning (2014) (145)
- Learning nonparametric kernel matrices from pairwise constraints (2007) (141)
- Generalized Maximum Margin Clustering and Unsupervised Kernel Learning (2006) (140)
- Linear Convergence with Condition Number Independent Access of Full Gradients (2013) (135)
- A Bayesian Approach toward Active Learning for Collaborative Filtering (2004) (127)
- Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient (2016) (125)
- Active query selection for semi-supervised clustering (2008) (121)
- A study of mixture models for collaborative filtering (2006) (115)
- Online Multiple Kernel Classification (2013) (111)
- XNAS: Neural Architecture Search with Expert Advice (2019) (111)
- Online feature selection for mining big data (2012) (109)
- Exploitation and exploration in a performance based contextual advertising system (2010) (109)
- Double Updating Online Learning (2011) (107)
- First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time (2017) (102)
- Distance metric learning from uncertain side information with application to automated photo tagging (2009) (98)
- Rank-based distance metric learning: An application to image retrieval (2008) (95)
- Missing Modalities Imputation via Cascaded Residual Autoencoder (2017) (94)
- Content-based image retrieval: An application to tattoo images (2009) (92)
- Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval (2009) (87)
- Online Multiple Kernel Similarity Learning for Visual Search (2014) (87)
- Learning a distance metric from multi-instance multi-label data (2009) (86)
- Efficient Kernel Clustering Using Random Fourier Features (2012) (86)
- Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning (2012) (85)
- Efficient Algorithm for Localized Support Vector Machine (2010) (85)
- Dynamic Regret of Strongly Adaptive Methods (2017) (83)
- Efficient Algorithms for Robust One-bit Compressive Sensing (2014) (81)
- Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) (2013) (80)
- Visual Search at Alibaba (2018) (80)
- Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach (2009) (79)
- Online Multiple Kernel Learning: Algorithms and Mistake Bounds (2010) (77)
- Robust Ensemble Clustering by Matrix Completion (2012) (76)
- Efficient Convex Relaxation for Transductive Support Vector Machine (2007) (75)
- A New Boosting Algorithm Using Input-Dependent Regularizer (2003) (75)
- Bayesian Active Distance Metric Learning (2007) (74)
- Non-monotonic feature selection (2009) (74)
- BoostCluster: boosting clustering by pairwise constraints (2007) (74)
- Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (2012) (74)
- Recovering the Optimal Solution by Dual Random Projection (2012) (71)
- Image Retrieval in Forensics: Tattoo Image Database Application (2012) (70)
- Semi-Supervised Boosting for Multi-Class Classification (2008) (69)
- On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles (2010) (69)
- Compressed Hashing (2013) (69)
- Top Rank Optimization in Linear Time (2014) (66)
- Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach (2013) (65)
- Discourse Structure for Context Question Answering (2004) (65)
- Learning Bregman Distance Functions for Semi-Supervised Clustering (2012) (64)
- Multi-label Multiple Kernel Learning (2008) (63)
- A learning framework using Green's function and kernel regularization with application to recommender system (2007) (61)
- Dash: Semi-Supervised Learning with Dynamic Thresholding (2021) (60)
- Collaborative image retrieval via regularized metric learning (2006) (60)
- Improved Bounds for the Nyström Method With Application to Kernel Classification (2011) (56)
- Stochastic Gradient Descent with Only One Projection (2012) (56)
- Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning (2013) (56)
- A study of methods for normalizing user ratings in collaborative filtering (2004) (55)
- Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering (2009) (55)
- Localized Support Vector Machine and Its Efficient Algorithm (2007) (54)
- User term feedback in interactive text-based image retrieval (2005) (53)
- Learning Position and Target Consistency for Memory-based Video Object Segmentation (2021) (50)
- Semi-Supervised Learning by Mixed Label Propagation (2007) (50)
- Efficient multi-label ranking for multi-class learning: Application to object recognition (2009) (48)
- Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification (2007) (48)
- Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach (2012) (48)
- Online Stochastic Linear Optimization under One-bit Feedback (2015) (47)
- Robust Optimization over Multiple Domains (2018) (47)
- An Information Geometry Approach for Distance Metric Learning (2009) (46)
- DR Loss: Improving Object Detection by Distributional Ranking (2019) (45)
- On Stochastic Moving-Average Estimators for Non-Convex Optimization (2021) (45)
- Ranking refinement and its application to information retrieval (2008) (45)
- CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation (2021) (44)
- On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization (2019) (44)
- Image Tag Completion by Noisy Matrix Recovery (2014) (44)
- A maximum coherence model for dictionary-based cross-language information retrieval (2005) (44)
- A Probabilistic Approach for Optimizing Spectral Clustering (2005) (43)
- Semi-Supervised Ensemble Ranking (2008) (42)
- Mixed Optimization for Smooth Functions (2013) (42)
- Boosting multi-kernel locality-sensitive hashing for scalable image retrieval (2012) (42)
- Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds (2017) (41)
- Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion (2013) (39)
- Automated annotation of Drosophila gene expression patterns using a controlled vocabulary (2008) (38)
- Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition (2010) (37)
- Multi-Class Learning by Smoothed Boosting (2007) (36)
- A probabilistic representation for efficient large scale visual recognition tasks (2011) (36)
- Online visual vocabulary pruning using pairwise constraints (2010) (36)
- Online learning by ellipsoid method (2009) (35)
- Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering (2011) (34)
- Distance metric learning from uncertain side information for automated photo tagging (2011) (34)
- Stochastic Convex Optimization with Multiple Objectives (2013) (33)
- An efficient primal dual prox method for non-smooth optimization (2012) (33)
- Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence (2018) (33)
- Online Kernel Learning with a Near Optimal Sparsity Bound (2013) (32)
- A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound (2012) (31)
- Linguistic theories in efficient multimodal reference resolution: an empirical investigation (2005) (31)
- KVT: k-NN Attention for Boosting Vision Transformers (2021) (30)
- Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model (2004) (30)
- Active kernel learning (2008) (30)
- Learning with Non-Convex Truncated Losses by SGD (2018) (30)
- Random Projections for Classification: A Recovery Approach (2014) (30)
- An empirical investigation of user term feedback in text-based targeted image search (2007) (29)
- Finding multiple stable clusterings (2015) (29)
- A Random Matrix Approach to Differential Privacy and Structure Preserved Social Network Graph Publishing (2013) (29)
- O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions (2013) (29)
- Learn to weight terms in information retrieval using category information (2005) (28)
- Non-parametric Mixture Models for Clustering (2010) (27)
- Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization (2015) (27)
- Distance metric learning using dropout: a structured regularization approach (2014) (27)
- Multiple Kernel Learning from Noisy Labels by Stochastic Programming (2012) (27)
- CUR Algorithm for Partially Observed Matrices (2014) (26)
- Robust Metric Learning by Smooth Optimization (2010) (26)
- Self-supervised Video Representation Learning by Context and Motion Decoupling (2021) (25)
- Adaptive Regularization for Transductive Support Vector Machine (2009) (25)
- Learning Accurate Entropy Model with Global Reference for Image Compression (2020) (24)
- Regularizing translation models for better automatic image annotation (2004) (24)
- Learning from Noisy Side Information by Generalized Maximum Entropy Model (2010) (23)
- Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis (2005) (23)
- Regret bounded by gradual variation for online convex optimization (2014) (23)
- Large-Scale Distance Metric Learning with Uncertainty (2018) (22)
- Scalable Kernel Clustering: Approximate Kernel k-means (2014) (22)
- Smooth Optimization for Effective Multiple Kernel Learning (2010) (22)
- Towards Understanding Label Smoothing (2020) (22)
- 7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS (2020) (21)
- Unsupervised transfer classification: application to text categorization (2010) (21)
- DUOL: A Double Updating Approach for Online Learning (2009) (21)
- Learning distance metrics for interactive search-assisted diagnosis of mammograms (2007) (21)
- Graffiti-ID: matching and retrieval of graffiti images (2009) (21)
- A Novel Convergence Analysis for Algorithms of the Adam Family (2021) (20)
- Analysis of Distributed Stochastic Dual Coordinate Ascent (2013) (20)
- An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection (2015) (20)
- Learning to Rank Image Tags With Limited Training Examples (2015) (19)
- Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition (2021) (19)
- Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization (2009) (19)
- Self-supervised Motion Learning from Static Images (2021) (19)
- Publishing Social Network Graph Eigenspectrum With Privacy Guarantees (2020) (19)
- Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval (2010) (19)
- MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization (2013) (19)
- Stochastic Optimization for Kernel PCA (2016) (18)
- Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions (2018) (18)
- A Novel Method Incorporating Gene Ontology Information for Unsupervised Clustering and Feature Selection (2008) (18)
- NEON+: Accelerated Gradient Methods for Extracting Negative Curvature for Non-Convex Optimization (2017) (18)
- Topic Modeling in Semantic Space with Keywords (2015) (18)
- Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data (2007) (18)
- Online Multiple Kernel Similarity Learning for Visual Search. (2013) (18)
- Online Bandit Learning for a Special Class of Non-Convex Losses (2015) (18)
- Learning to trade off between exploration and exploitation in multiclass bandit prediction (2011) (17)
- Online Kernel Selection: Algorithms and Evaluations (2012) (17)
- Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression (2012) (17)
- Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization (2008) (17)
- Semi-supervised text categorization by active search (2008) (16)
- An efficient key point quantization algorithm for large scale image retrieval (2009) (16)
- A Potential-based Framework for Online Multi-class Learning with Partial Feedback (2010) (16)
- Large-Scale Training System for 100-Million Classification at Alibaba (2020) (15)
- Scaled ReLU Matters for Training Vision Transformers (2021) (15)
- An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives (2020) (15)
- Effective Model Sparsification by Scheduled Grow-and-Prune Methods (2021) (15)
- Ordering patterns by combining opinions from multiple sources (2004) (15)
- Social Media Modeling and Computing (2011) (14)
- Rethinking supervised pre-training for better downstream transferring (2021) (14)
- Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems (2019) (14)
- Stock Constrained Recommendation in Tmall (2015) (14)
- Gang and moniker identification by graffiti matching (2011) (14)
- Sparse Learning with Stochastic Composite Optimization (2014) (13)
- A Practical Online Method for Distributionally Deep Robust Optimization (2020) (12)
- Improved Bound for the Nystrom's Method and its Application to Kernel Classification (2011) (12)
- Neural Architecture Design for GPU-Efficient Networks (2020) (12)
- Online kernel learning with nearly constant support vectors (2016) (12)
- Combining Link and Content for Community Detection (2014) (12)
- Wearable autonomous microsystem with electrochemical gas sensor array for real-time health and safety monitoring (2012) (12)
- Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval (2005) (12)
- Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement (2019) (11)
- A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data (2014) (11)
- On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization (2019) (11)
- Theory of Dual-sparse Regularized Randomized Reduction (2015) (11)
- Multinomial Logit Bandit with Linear Utility Functions (2018) (11)
- A Framework for Incorporating Class Priors into Discriminative Classification (2005) (11)
- A statistical framework for query translation disambiguation (2006) (11)
- A Bayesian Framework for Community Detection Integrating Content and Link (2009) (11)
- A Simple Homotopy Algorithm for Compressive Sensing (2015) (10)
- Automatic image annotation (2007) (10)
- Robust Online Matching with User Arrival Distribution Drift (2019) (10)
- Online Stochastic Optimization with Multiple Objectives (2012) (10)
- Tattoo Image Matching and Retrieval (2012) (10)
- Random Projection with Filtering for Nearly Duplicate Search (2012) (9)
- Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling (2015) (9)
- Deep Learning at Alibaba (2017) (9)
- Efficient Constrained Regret Minimization (2012) (9)
- Social Graph Publishing with Privacy Guarantees (2016) (9)
- Unsupervised Visual Representation Learning by Online Constrained K-Means (2021) (9)
- MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning (2019) (9)
- Accelerated Sparse Linear Regression via Random Projection (2016) (9)
- Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation (2015) (9)
- Fast and Accurate Refined Nyström-Based Kernel SVM (2016) (9)
- Large-Scale Visual Search with Binary Distributed Graph at Alibaba (2019) (9)
- Robust feature induction for support vector machines (2004) (8)
- Stochastic Proximal Gradient Methods for Non-smooth Non-Convex Regularized Problems. (2019) (8)
- Strongly Adaptive Regret Implies Optimally Dynamic Regret (2017) (8)
- Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? (2018) (8)
- Attentional Biased Stochastic Gradient for Imbalanced Classification (2020) (8)
- On Data Preconditioning for Regularized Loss Minimization (2014) (8)
- Proceedings of the first SIGMM workshop on Social media (2009) (8)
- On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent (2013) (8)
- Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters (2015) (8)
- Privacy and Regression Model Preserved Learning (2014) (8)
- A kernel density based approach for large scale image retrieval (2011) (7)
- Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering (2007) (7)
- WeMix: How to Better Utilize Data Augmentation (2020) (7)
- Graph Convolution for Re-Ranking in Person Re-Identification (2021) (7)
- Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis (2015) (6)
- A Knowledge Driven Regression Model for Gene Expression and Microarray Analysis (2006) (6)
- A graph-based framework for relation propagation and its application to multi-label learning (2006) (6)
- Excess Risk Bounds for Exponentially Concave Losses (2014) (6)
- An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization (2014) (6)
- Semi-supervised Collaborative Text Classification (2007) (6)
- Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice (2021) (5)
- SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data (2004) (5)
- A Novel Approach to Model Generation for Heterogeneous Data Classification (2005) (5)
- A Bayesian framework for knowledge driven regression model in micro-array data analysis (2008) (5)
- Reconstructing functional neuronal circuits using dynamic Bayesian networks (2008) (5)
- Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach (2015) (4)
- Passive Learning with Target Risk (2013) (4)
- Symmetric Statistical Translation Models for Automatic Image Annotation (2005) (4)
- A Pairwise Ensemble Approach for Accurate Genre Classification (2003) (4)
- The Opensesame NIST 2016 Speaker Recognition Evaluation System (2017) (4)
- Weakly Supervised Representation Learning with Coarse Labels (2020) (4)
- A Practical Semi-Parametric Contextual Bandit (2019) (4)
- Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses (2019) (4)
- Image Retrieval in Forensics : Application to Tattoo Image Database (2011) (4)
- Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion (2015) (4)
- Semi-Parametric Sampling for Stochastic Bandits with Many Arms (2019) (4)
- Semi-Supervised Clustering (2015) (4)
- Study of cross lingual information retrieval using on-line translation systems (2005) (4)
- An Online Method for Distributionally Deep Robust Optimization (2020) (4)
- A smoothed boosting algorithm using probabilistic output codes (2005) (4)
- Vision-based Price Suggestion for Online Second-hand Items (2019) (4)
- Big Data Analytics: Optimization and Randomization (2015) (3)
- An Improved Bound for the Nystrom Method for Large Eigengap (2012) (3)
- A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks (2021) (3)
- Large-scale near-duplicate image retrieval by kernel density estimation (2012) (3)
- Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance (2019) (3)
- Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee (2019) (3)
- Regret Bound by Variation for Online Convex Optimization (2011) (3)
- Binary Excess Risk for Smooth Convex Surrogates (2014) (3)
- Identifying and Tracking the number of independent clusters of functionally interdependent neurons from biophysical models of population activity (2007) (3)
- Stochastic Proximal Gradient Descent for Nuclear Norm Regularization (2015) (3)
- MSU at ImageCLEF: Cross Language and Interactive Image Retrieval (2004) (3)
- Large Scale Long-tailed Product Recognition System at Alibaba (2020) (3)
- Label propagation for classification and ranking (2007) (3)
- Machine learning for information retrieval (2011) (3)
- Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks (2009) (2)
- Active multiple kernel learning for interactive 3D object retrieval systems (2011) (2)
- Towards Making High Dimensional Distance Metric Learning Practical (2015) (2)
- Representative entry selection for profiling blogs (2008) (2)
- First ACM SIGMM international workshop onsocial media (WSM'09) (2009) (2)
- Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning (2021) (2)
- Communication Efficient SGD via Gradient Sampling with Bayes Prior (2021) (2)
- Multi-Task Learning: Multiple Kernels for Multiple Tasks (2010) (2)
- Proceedings of second ACM SIGMM workshop on Social media (2010) (2)
- Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities (2014) (2)
- Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property (2014) (2)
- Active Algorithm Selection (2007) (2)
- A Mixture Model for Spike Train Ensemble Analysis Using Spectral Clustering (2006) (2)
- Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees (2015) (2)
- Inferring neuronal functional connectivity using dynamic Bayesian networks (2008) (2)
- Similarity Beyond Distance Measurement (2007) (1)
- Efficient Algorithm for Localized Support (2010) (1)
- Why Does Multi-Epoch Training Help? (2021) (1)
- Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network (2008) (1)
- Learning Structures (2019) (1)
- Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion (2019) (1)
- Price Suggestion for Online Second-hand Items with Texts and Images (2020) (1)
- Sparse Multiple Kernel Learning with Geometric Convergence Rate (2013) (1)
- Image Retrieval in Forensics: Tattoo Image Database (2012) (1)
- Supplementary Documents for “ Semi-Crowdsource Clustering : Generalizing Crowd Labeling by Robust Distance Metric Learning ” (2012) (1)
- Stochastic Optimization of Smooth Loss (2013) (1)
- Large-scale Multi-modal Search and QA at Alibaba (2020) (1)
- CobBO: Coordinate Backoff Bayesian Optimization (2021) (1)
- Similarity Learning via Adaptive Regression and Its Application to Image Retrieval (2015) (1)
- Seamless Color Mapping for 3D Reconstruction with Consumer-Grade Scanning Devices (2018) (1)
- Improving the Minimax Rate of Active Learning (2013) (1)
- CUR Algorithm with Incomplete Matrix Observation (2014) (1)
- On the Convergence of Deep Networks with Sample Quadratic Overparameterization (2021) (1)
- Learning kernel combination from noisy pairwise constraints (2012) (0)
- Supplementary Material : Improved Dynamic Regret for Non-degenerate Functions (2017) (0)
- Supplementary Material : Stochastic Optimization for Kernel PCA (2015) (0)
- Distributionally Robust Omnichannel Stocking Decisions in Quick Fulfillment Systems (2019) (0)
- Learning Phenotype Specific Gene Network by Knowledge Driven Matrix Factorization (2007) (0)
- Summary of Current Work on Active Learning (2006) (0)
- Semi-supervised learning with side information: graph-based approaches (2007) (0)
- Query Translation Disambiguation as Graph Partitioning (2005) (0)
- A Kernel Approach to Multi-Task Learning with Task-Specific Kernels (2012) (0)
- IQNAS: Interpretable Integer Quadratic Programming Neural Architecture Search (2021) (0)
- Representation Learning with Fine-grained Patterns (2020) (0)
- Data Representation: Learning Kernels from Noisy Data and Uncertain Information (2010) (0)
- Assessing temporal and spatial evolution of clusters of functionally interdependent neurons using graph partitioning techniques (2006) (0)
- Boosting and online learning for classification and ranking (2010) (0)
- Learning from noisily connected data (2012) (0)
- Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) (2014) (0)
- Review on OFS: Online Feature Selection based on Regression Analysis and Clustering Method along with its Application (2020) (0)
- Supplementary Material of “ Speedup Matrix Completion with Side Information : Application to Multi-Label Learning ” (2013) (0)
- Some contributions to dimensionality reduction (2010) (0)
- Beating the Minimax Rate of Active Learning with Prior Knowledge (2013) (0)
- Stochastic Optimization with Multiple Objectives (2013) (0)
- High-dimensional model recovery from random sketched data by exploring intrinsic sparsity (2020) (0)
- Image Tag Completion by Noisy Matrix Recovery Supplementary Document (2014) (0)
- A simple homotopy proximal mapping algorithm for compressive sensing (2014) (0)
- Decision Making under Stochastic Constraints (2012) (0)
- Multi-Task Learning in Square Integrable Space (2011) (0)
- A Theoretical Analysis of Learning with Noisily Labeled Data (2021) (0)
- Large-scale near-duplicate image retrieval by kernel density estimation (2012) (0)
- Supplementary Material : O ( log T ) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions (2013) (0)
- Supplementary Material of “ Dynamic Regret of Strongly Adaptive Methods ” (2018) (0)
- Introduction to the Special Section on Distance Metric Learning in Intelligent Systems (2012) (0)
- Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses (2019) (0)
- Price Suggestion for Online Second-hand Items (2021) (0)
- Of Information Systems School of Information Systems 8-2012 Online Feature Selection for Mining Big Data (2015) (0)
- Large-scale Robust Online Matching and Its Application in E-commerce (2016) (0)
- High Probability Bounds for Bandit Stochastic and Adversarial Strongly Convex Optimization (2013) (0)
- Learning with Labeled Sessions (2005) (0)
- Supplementary Material of "CUR Algorithm for Partially Observed Matrices" (2011) (0)
- A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis (2017) (0)
- Combi ni ng Li nk and Content for Communi ty Detecti on: A Discriminative Approach (2009) (0)
- Robust Graph Structure Learning over Images via Multiple Statistical Tests (2022) (0)
- A Simple Homotopy Proximal Mapping for Compressive Sensing (2014) (0)
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