Why Is Michael I. Jordan Influential?
According to Wikipedia , Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley and researcher in machine learning, statistics, and artificial intelligence. Jordan was elected a member of the National Academy of Engineering in 2010 for contributions to the foundations and applications of machine learning.
Michael I. Jordan'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
1990 2000 2010 2020 0 2500 5000 7500 10000 12500 15000 17500 20000 22500 25000 27500 30000 32500 35000 37500 40000 Published Papers Latent Dirichlet Allocation (2003) (30016)On Spectral Clustering: Analysis and an algorithm (2001) (8262)Adaptive Mixtures of Local Experts (1991) (3931)Graphical Models, Exponential Families, and Variational Inference (2008) (3751)Trust Region Policy Optimization (2015) (3646)Hierarchical Dirichlet Processes (2006) (3531)Graphical Models (1998) (3157)Distance Metric Learning with Application to Clustering with Side-Information (2002) (3014)An internal model for sensorimotor integration. (1995) (2945)An Introduction to Variational Methods for Graphical Models (2004) (2717)Optimal feedback control as a theory of motor coordination (2002) (2601)Learning Transferable Features with Deep Adaptation Networks (2015) (2589)Machine learning: Trends, perspectives, and prospects (2015) (2578)Learning the Kernel Matrix with Semidefinite Programming (2004) (2478)An Introduction to MCMC for Machine Learning (2004) (2309)On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes (2001) (2193)Hierarchical mixtures of experts and the EM algorithm (1993) (2078)Active Learning with Statistical Models (1994) (2020)Matching Words and Pictures (2003) (1768)Loopy Belief Propagation for Approximate Inference: An Empirical Study (1999) (1755)Forward Models: Supervised Learning with a Distal Teacher (1992) (1602)Multiple kernel learning, conic duality, and the SMO algorithm (2004) (1592)Learning in Graphical Models (1998) (1536)High-Dimensional Continuous Control Using Generalized Advantage Estimation (2016) (1531)Kalman filtering with intermittent observations (2004) (1362)Variational inference for Dirichlet process mixtures (2006) (1297)Modeling annotated data (2003) (1207)Factorial Hidden Markov Models (2004) (1201)Deep Transfer Learning with Joint Adaptation Networks (2017) (1152)Convexity, Classification, and Risk Bounds (2006) (1150)An Introduction to Variational Methods for Graphical Models (1998) (1112)Attractor dynamics and parallelism in a connectionist sequential machine (1990) (1098)Hierarchical Mixtures of Experts and the EM Algorithm (1994) (1057)Hierarchical Topic Models and the Nested Chinese Restaurant Process (2003) (1051)Convex and Semi-Nonnegative Matrix Factorizations (2010) (1028)Kernel independent component analysis (2003) (1000)Unsupervised Domain Adaptation with Residual Transfer Networks (2016) (903)Serial Order: A Parallel Distributed Processing Approach (1997) (879)Theoretically Principled Trade-off between Robustness and Accuracy (2019) (877)On the Convergence of Stochastic Iterative Dynamic Programming Algorithms (1994) (829)Scalable statistical bug isolation (2005) (816)Kernel independent component analysis (2003) (815)On Convergence Properties of the EM Algorithm for Gaussian Mixtures (1996) (809)Detecting large-scale system problems by mining console logs (2009) (782)Conditional Adversarial Domain Adaptation (2018) (755)A statistical framework for genomic data fusion (2004) (726)Learning with Mixtures of Trees (2000) (705)Feature selection for high-dimensional genomic microarray data (2001) (695)A Direct Formulation for Sparse PCA Using Semidefinite Programming (2007) (663)Supervised learning from incomplete data via an EM approach (1993) (630)Sensorimotor adaptation in speech production. (1998) (623)The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies (2010) (620)Bug isolation via remote program sampling (2003) (611)Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks (1991) (600)Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces (2004) (590)Deep Generative Modeling for Single-cell Transcriptomics (2018) (585)Probabilistic Networks and Expert Systems (1999) (579)Local privacy and statistical minimax rates (2013) (575)Bayesian parameter estimation via variational methods (2000) (574)Learning Dependency-Based Compositional Semantics (2011) (557)How to Escape Saddle Points Efficiently (2017) (533)Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization (2010) (512)Joint covariate selection and joint subspace selection for multiple classification problems (2010) (512)Managing data transfers in computer clusters with orchestra (2011) (506)PEGASUS: A policy search method for large MDPs and POMDPs (2000) (486)A Robust Minimax Approach to Classification (2002) (481)Learning Spectral Clustering (2003) (478)Chemogenomic profiling: identifying the functional interactions of small molecules in yeast. (2004) (472)A Probabilistic Interpretation of Canonical Correlation Analysis (2005) (469)Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes (2004) (440)Fast approximate spectral clustering (2009) (430)Ray: A Distributed Framework for Emerging AI Applications (2018) (428)Mean Field Theory for Sigmoid Belief Networks (1996) (428)Gradient Descent Only Converges to Minimizers (2016) (423)Hierarchical Beta Processes and the Indian Buffet Process (2007) (419)DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification (2008) (415)Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems (1994) (410)Learning Without State-Estimation in Partially Observable Markovian Decision Processes (1994) (402)Nonparametric Latent Feature Models for Link Prediction (2009) (399)Is Q-learning Provably Efficient? (2018) (382)A variational perspective on accelerated methods in optimization (2016) (367)Variational Bayesian Inference with Stochastic Search (2012) (361)A Direct Formulation for Sparse Pca Using Semidefinite Programming (2004) (346)Failure diagnosis using decision trees (2004) (345)Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast (2004) (342)Reinforcement Learning with Soft State Aggregation (1994) (338)Autonomous Helicopter Flight via Reinforcement Learning (2003) (331)Probabilistic Independence Networks for Hidden Markov Probability Models (1997) (329)Revisiting k-means: New Algorithms via Bayesian Nonparametrics (2012) (327)Convergence results for the EM approach to mixtures of experts architectures (1995) (326)The Constrained Laplacian Rank Algorithm for Graph-Based Clustering (2016) (326)MLbase: A Distributed Machine-learning System (2013) (324)A Sticky HDP-HMM With Application to Speaker Diarization (2011) (322)A scalable bootstrap for massive data (2011) (310)Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study (2004) (309)SUPPORT UNION RECOVERY IN HIGH-DIMENSIONAL MULTIVARIATE REGRESSION (2011) (305)A mantle plume below the Eifel volcanic fields, Germany (2001) (304)Stable algorithms for link analysis (2001) (304)Communication-Efficient Distributed Dual Coordinate Ascent (2014) (299)Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning (2009) (298)An HDP-HMM for systems with state persistence (2008) (290)Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing (2014) (290)Exploiting Tractable Substructures in Intractable Networks (1995) (286)RLlib: Abstractions for Distributed Reinforcement Learning (2018) (283)Hierarchical Bayesian Nonparametric Models with Applications (2008) (283)Learning Spectral Clustering, With Application To Speech Separation (2006) (281)Streaming Variational Bayes (2013) (276)Learning Semantic Correspondences with Less Supervision (2009) (276)Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations (2015) (267)A Kernelized Stein Discrepancy for Goodness-of-fit Tests (2016) (266)Kernel dimension reduction in regression (2009) (263)Learning to Explain: An Information-Theoretic Perspective on Model Interpretation (2018) (262)The Handbook of Brain Theory and Neural Networks (2002) (261)An Alternative Model for Mixtures of Experts (1994) (255)A critical assessment of Mus musculus gene function prediction using integrated genomic evidence (2008) (254)Link Analysis, Eigenvectors and Stability (2001) (253)Provably Efficient Reinforcement Learning with Linear Function Approximation (2020) (252)Predictive low-rank decomposition for kernel methods (2005) (242)Mixtures of Probabilistic Principal Component Analyzers (2001) (239)Privacy Aware Learning (2014) (236)Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. (1998) (235)Bayesian Nonparametrics: Hierarchical Bayesian nonparametric models with applications (2010) (231)Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters (2009) (230)Semiparametric latent factor models (2005) (229)A generalized mean field algorithm for variational inference in exponential families (2003) (228)Hierarchical Mixtures of Experts and the EM Algorithm (1994) (223)Characterizing, modeling, and generating workload spikes for stateful services (2010) (222)Partial Transfer Learning with Selective Adversarial Networks (2018) (221)Sensorimotor adaptation of speech I: Compensation and adaptation. (2002) (221)Loopy Belief Propogation and Gibbs Measures (2002) (219)A more biologically plausible learning rule for neural networks. (1991) (217)Learning from Incomplete Data (1994) (213)Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization (2007) (212)The Infinite PCFG Using Hierarchical Dirichlet Processes (2007) (210)Information-theoretic lower bounds for distributed statistical estimation with communication constraints (2013) (209)Nonparametric Bayesian Learning of Switching Linear Dynamical Systems (2008) (207)A variational approach to Bayesian logistic regression problems and their extensions (1996) (205)Minimax Optimal Procedures for Locally Private Estimation (2016) (205)Bridging Theory and Algorithm for Domain Adaptation (2019) (204)Bayesian Nonparametric Inference of Switching Dynamic Linear Models (2011) (204)Protein Molecular Function Prediction by Bayesian Phylogenomics (2005) (202)Learning piecewise control strategies in a modular neural network architecture (1993) (198)A Lyapunov Analysis of Momentum Methods in Optimization (2016) (198)Supervised learning and systems with excess degrees of freedom (1988) (198)A kernel-based learning approach to ad hoc sensor network localization (2005) (198)Generalization to Local Remappings of the Visuomotor Coordinate Transformation (1996) (195)A General Analysis of the Convergence of ADMM (2015) (195)Surface/surface intersection (1987) (193)Computational and statistical tradeoffs via convex relaxation (2013) (193)HopSkipJumpAttack: A Query-Efficient Decision-Based Attack (2020) (189)Particle gibbs with ancestor sampling (2014) (188)Gradient Descent Converges to Minimizers (2016) (187)Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes (2008) (187)Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent (2018) (185)MLI: An API for Distributed Machine Learning (2013) (185)Divide-and-Conquer Matrix Factorization (2011) (185)On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems (2020) (184)In-Network PCA and Anomaly Detection (2006) (183)Hierarchies of Adaptive Experts (1991) (182)Variational Probabilistic Inference and the QMR-DT Network (1999) (181)Transferable Representation Learning with Deep Adaptation Networks (2019) (180)Variational methods for the Dirichlet process (2004) (179)CoCoA: A General Framework for Communication-Efficient Distributed Optimization (2017) (178)Efficient Ranking from Pairwise Comparisons (2013) (176)Toward a protein profile of Escherichia coli: Comparison to its transcription profile (2003) (176)Genomic privacy and limits of individual detection in a pool (2009) (175)Communication-Efficient Distributed Statistical Inference (2018) (175)Nested Hierarchical Dirichlet Processes (2015) (175)Trading relations between tongue-body raising and lip rounding in production of the vowel /u/: a pilot "motor equivalence" study. (1993) (172)Non-convex Finite-Sum Optimization Via SCSG Methods (2017) (170)Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification (2018) (170)Underdamped Langevin MCMC: A non-asymptotic analysis (2018) (170)Semi-supervised Learning via Gaussian Processes (2004) (168)Knowing when you're wrong: building fast and reliable approximate query processing systems (2014) (167)Statistical debugging: simultaneous identification of multiple bugs (2006) (167)Series foreword (2003) (166)Generic constraints on underspecified target trajectories (1989) (165)A Competitive Modular Connectionist Architecture (1990) (164)Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones (2004) (163)Genome-Wide Requirements for Resistance to Functionally Distinct DNA-Damaging Agents (2005) (162)Perturbed Iterate Analysis for Asynchronous Stochastic Optimization (2017) (159)Learning from Dyadic Data (1998) (159)The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements (2011) (158)Gradient Descent Can Take Exponential Time to Escape Saddle Points (2017) (158)Tree-Structured Stick Breaking for Hierarchical Data (2010) (158)Thin Junction Trees (2001) (156)Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning (2014) (155)A Linearly-Convergent Stochastic L-BFGS Algorithm (2016) (152)SparkNet: Training Deep Networks in Spark (2016) (151)Sharing Features among Dynamical Systems with Beta Processes (2009) (150)Adding vs. Averaging in Distributed Primal-Dual Optimization (2015) (149)A Berkeley View of Systems Challenges for AI (2017) (148)Neighbor-Dependent Ramachandran Probability Distributions of Amino Acids Developed from a Hierarchical Dirichlet Process Model (2010) (147)Computational models of sensorimotor integration (1997) (145)Communication-Efficient Online Detection of Network-Wide Anomalies (2007) (136)Online System Problem Detection by Mining Patterns of Console Logs (2009) (135)An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators (2008) (134)Learning to Control an Unstable System with Forward Modeling (1989) (133)Unsupervised Learning from Dyadic Data (1998) (133)Matrix concentration inequalities via the method of exchangeable pairs (2014) (133)First-order Methods Almost Always Avoid Saddle Points (2019) (132)Variational Learning for Switching State-Space Models (2001) (132)Universal Domain Adaptation (2019) (132)Why the logistic function? A tutorial discussion on probabilities and neural networks (1995) (131)Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding (2008) (130)Automating model search for large scale machine learning (2015) (130)Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning (2018) (130)Obstacle Avoidance and a Perturbation Sensitivity Model for Motor Planning (1997) (130)What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? (2020) (129)The Big Data Bootstrap (2012) (128)Multiple Non-Redundant Spectral Clustering Views (2010) (127)Nonparametric Link Prediction in Dynamic Networks (2012) (126)Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (2019) (126)Computational Consequences of a Bias toward Short Connections (1992) (125)Modeling Events with Cascades of Poisson Processes (2010) (125)Nonparametric empirical Bayes for the Dirichlet process mixture model (2006) (125)Structured Prediction, Dual Extragradient and Bregman Projections (2006) (124)Bayesian Bias Mitigation for Crowdsourcing (2011) (124)Beyond Independent Components: Trees and Clusters (2003) (124)Generalized Zero-Shot Learning with Deep Calibration Network (2018) (122)Variational methods for inference and estimation in graphical models (1997) (120)Artificial Intelligence—The Revolution Hasn’t Happened Yet (2019) (119)An Analysis of the Convergence of Graph Laplacians (2010) (118)ON surrogate loss functions and f-divergences (2005) (118)Understanding the Acceleration Phenomenon via High-Resolution Differential Equations (2021) (118)Distributed optimization with arbitrary local solvers (2017) (118)Blind One-microphone Speech Separation: A Spectral Learning Approach (2004) (117)Learning from measurements in exponential families (2009) (117)A Minimal Intervention Principle for Coordinated Movement (2002) (116)Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint (2001) (115)Support vector machines for analog circuit performance representation (2003) (114)Mining Console Logs for Large-Scale System Problem Detection (2008) (114)Increased VO2 max with right-shifted Hb-O2 dissociation curve at a constant O2 delivery in dog muscle in situ. (1998) (113)The Role of Inertial Sensitivity in Motor Planning (1998) (113)Computing regularization paths for learning multiple kernels (2004) (111)Learning graphical models for stationary time series (2004) (111)Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation (2013) (110)Viewing the hand prior to movement improves accuracy of pointing performed toward the unseen contralateral hand (1997) (108)Computational aspects of motor control and motor learning (2008) (107)Motor Learning and the Degrees of Freedom Problem (2018) (107)Stochastic Cubic Regularization for Fast Nonconvex Optimization (2018) (107)Hidden Markov Decision Trees (1996) (107)Minimax Probability Machine (2001) (107)Lower bounds on the performance of polynomial-time algorithms for sparse linear regression (2014) (104)Perceptual distortion contributes to the curvature of human reaching movements (2004) (103)The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox (2015) (102)L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data (2019) (102)Regression on manifolds using kernel dimension reduction (2007) (102)Learning Programs: A Hierarchical Bayesian Approach (2010) (101)Near-Optimal Algorithms for Minimax Optimization (2020) (101)Improving the Mean Field Approximation Via the Use of Mixture Distributions (1998) (101)Consistent probabilistic outputs for protein function prediction (2008) (101)On the Computational Complexity of High-Dimensional Bayesian Variable Selection (2015) (100)Shaping and policy search in reinforcement learning (2003) (98)Bayesian nonparametric latent feature models (2011) (96)Bayesian Haplotype Inference via the Dirichlet Process (2007) (96)Estimation, Optimization, and Parallelism when Data is Sparse (2013) (96)On the Consistency of Ranking Algorithms (2010) (95)Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures (2000) (94)Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces (2004) (94)Sharp Convergence Rates for Langevin Dynamics in the Nonconvex Setting (2018) (93)Boltzmann Chains and Hidden Markov Models (1994) (92)Word Alignment via Quadratic Assignment (2006) (92)Managing data transfers in computer clusters with orchestra (2011) (92)Approximating Posterior Distributions in Belief Networks Using Mixtures (1997) (92)On statistics, computation and scalability (2013) (91)Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences (2016) (91)Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization (2005) (91)Log-determinant relaxation for approximate inference in discrete Markov random fields (2006) (91)On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games (2019) (90)Spectral Clustering with Perturbed Data (2008) (90)Robust Novelty Detection with Single-Class MPM (2002) (89)Sulfur and Nitrogen Limitation in Escherichia coli K-12: Specific Homeostatic Responses (2005) (89)Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes (2007) (89)Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization (2007) (89)MAD-Bayes: MAP-based Asymptotic Derivations from Bayes (2013) (89)Nonparametric decentralized detection using kernel methods (2005) (87)Dried blood spots for HIV-1 drug resistance and viral load testing: A review of current knowledge and WHO efforts for global HIV drug resistance surveillance. (2010) (87)Leo Breiman (2010) (86)L1-regularized Neural Networks are Improperly Learnable in Polynomial Time (2016) (85)Regression with input-dependent noise: A Gaussian process treatment (1998) (84)First-order methods almost always avoid strict saddle points (2019) (84)Phylogenetic Inference via Sequential Monte Carlo (2012) (82)Local linear perceptrons for classification (1996) (81)JOINT MODELING OF MULTIPLE TIME SERIES VIA THE BETA PROCESS WITH APPLICATION TO MOTION CAPTURE SEGMENTATION (2014) (81)Efficient Stepwise Selection in Decomposable Models (2001) (80)A more biologically plausible learning rule than backpropagation applied to a network model of cortical area 7a. (1991) (80)Transferable Normalization: Towards Improving Transferability of Deep Neural Networks (2019) (78)Bayesian Nonparametric Methods for Learning Markov Switching Processes (2010) (78)Probabilistic models of text and images (2004) (78)Computing upper and lower bounds on likelihoods in intractable networks (1996) (77)A latent variable model for chemogenomic profiling (2005) (77)The Sticky HDP-HMM: Bayesian Nonparametric Hidden Markov Models with Persistent States (2009) (75)Less than a Single Pass: Stochastically Controlled Stochastic Gradient (2017) (75)On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms (2019) (75)Statistical Debugging of Sampled Programs (2003) (74)An introduction to linear algebra in parallel distributed processing (1986) (74)On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo (2018) (74)Effect of NO, vasodilator prostaglandins, and adenosine on skeletal muscle angiogenic growth factor gene expression. (1999) (74)Goal-based speech motor control: A theoretical framework and some preliminary data (1995) (73)Beta Processes, Stick-Breaking and Power Laws (2011) (73)Robust design of biological experiments (2005) (72)Union support recovery in high-dimensional multivariate regression (2008) (72)Minmax Optimization: Stable Limit Points of Gradient Descent Ascent are Locally Optimal (2019) (71)The Organization of Action Sequences: Evidence From a Relearning Task. (1995) (71)Sampling can be faster than optimization (2019) (71)Active site prediction using evolutionary and structural information (2010) (69)A Model of the Learning of Arm Trajectories from Spatial Deviations (1994) (68)On Symplectic Optimization (2018) (67)Regularized Discriminant Analysis, Ridge Regression and Beyond (2010) (67)Learning Graphical Models with Mercer Kernels (2002) (67)Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models (2012) (67)Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes (2015) (65)On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points (2019) (64)A unified treatment of multiple testing with prior knowledge using the p-filter (2019) (64)Structured Prediction via the Extragradient Method (2005) (64)Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates (2013) (62)Provable Meta-Learning of Linear Representations (2021) (61)Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data (2003) (61)Constrained supervised learning (1992) (60)50 Strategies for Teaching English Language Learners (2015) (60)Combinatorial Clustering and the Beta Negative Binomial Process (2015) (60)Modular and hierarchical learning systems (1998) (59)Information Constraints on Auto-Encoding Variational Bayes (2018) (59)Covariances, Robustness, and Variational Bayes (2018) (58)Mixed Membership Matrix Factorization (2010) (58)Learning in Boltzmann Trees (1994) (58)Angiogenic growth factor mRNA responses to passive and contraction-induced hyperperfusion in skeletal muscle. (1998) (58)Feature allocations, probability functions, and paintboxes (2013) (58)Acceleration via Symplectic Discretization of High-Resolution Differential Equations (2019) (58)Parallel Correlation Clustering on Big Graphs (2015) (57)Ergodic mirror descent (2011) (56)Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference (2014) (56)Stochastic Gradient Descent Escapes Saddle Points Efficiently (2019) (55)Multiple-sequence functional annotation and the generalized hidden Markov phylogeny (2004) (55)SMaSH: a benchmarking toolkit for human genome variant calling (2014) (55)Extensions of the Informative Vector Machine (2004) (55)Is There an Analog of Nesterov Acceleration for MCMC? (2019) (55)Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates (2003) (54)Bayesian semiparametric Wiener system identification (2013) (54)The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features (2008) (54)Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data (2020) (54)Genome-scale phylogenetic function annotation of large and diverse protein families. (2011) (54)A randomization test for controlling population stratification in whole-genome association studies. (2007) (54)A Dynamical Systems Perspective on Nesterov Acceleration (2019) (54)Cyclades: Conflict-free Asynchronous Machine Learning (2016) (53)Automatic exploration of datacenter performance regimes (2009) (53)Ancestor Sampling for Particle Gibbs (2012) (52)Nonparametric Bayesian Co-clustering Ensembles (2011) (52)Averaging Stochastic Gradient Descent on Riemannian Manifolds (2018) (52)Kernel Feature Selection via Conditional Covariance Minimization (2017) (51)EP-GIG Priors and Applications in Bayesian Sparse Learning (2012) (51)Logos: a Modular Bayesian Model for de Novo Motif Detection (2004) (51)Age-related changes in serum insulin-like growth factor-I, insulin-like growth factor-I binding protein-3 and articular cartilage structure in Thoroughbred horses. (2005) (50)A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm (2019) (50)Estimating Dependency Structure as a Hidden Variable (1997) (50)Active spectral clustering via iterative uncertainty reduction (2012) (49)Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (2019) (49)Hierarchical Models , Nested Models and Completely Random Measures (2010) (49)Experience Mining Google's Production Console Logs (2010) (49)Hierarchical Bayesian Models for Applications in Information Retrieval (2003) (49)A Swiss Army Infinitesimal Jackknife (2019) (48)Cluster Forests (2013) (48)Chapter 2 Computational aspects of motor control and motor learning (1996) (48)Active Learning for Crowd-Sourced Databases (2012) (47)Iterative Discovery of Multiple AlternativeClustering Views (2014) (47)Discriminative training of hidden Markov models for multiple pitch tracking [speech processing examples] (2005) (47)Task Decomposition through Competition in A (1990) (47)Learning Fine Motion by Markov Mixtures of Experts (1995) (47)Optimality guarantees for distributed statistical estimation (2014) (47)Variational Consensus Monte Carlo (2015) (47)Bayesian inference for queueing networks and modeling of internet services (2010) (47)Online control of the false discovery rate with decaying memory (2017) (46)Real-Time Machine Learning: The Missing Pieces (2017) (46)Dimensionality Reduction for Spectral Clustering (2011) (46)A statistical approach to decision tree modeling (1994) (45)Stick-Breaking Beta Processes and the Poisson Process (2012) (44)High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm (2021) (44)On the Theory of Transfer Learning: The Importance of Task Diversity (2020) (44)Probabilistic Harmonization and Annotation of Single-cell Transcriptomics Data with Deep Generative Models (2019) (44)Recursive Algorithms for Approximating Probabilities in Graphical Models (1996) (44)On the inference of ancestries in admixed populations. (2008) (43)Variational inference in graphical models: The view from the marginal polytope (2008) (43)Are Reaching Movements Planned to be Straight and Invariant in the Extrinsic Space? Kinematic Comparison between Compliant and Unconstrained Motions (1999) (43)On the Convergence Rate of Decomposable Submodular Function Minimization (2014) (43)Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data (2004) (43)Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture (2006) (43)Bayesian haplo-type inference via the dirichlet process (2004) (42)Unsupervised Kernel Dimension Reduction (2010) (42)Multiway Spectral Clustering: A Margin-based Perspective (2008) (42)The Cascade Neural Network Model and a Speed-Accuracy Trade-Off of Arm Movement. (1993) (41)Type-Based MCMC (2010) (41)Evolutionary inference via the Poisson Indel Process (2012) (41)Cluster and Feature Modeling from Combinatorial Stochastic Processes (2013) (40)Sparse Gaussian Process Classification With Multiple Classes (2004) (40)A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences (2002) (40)How Does Learning Rate Decay Help Modern Neural Networks (2019) (39)A Dual Receptor Crosstalk Model of G-Protein-Coupled Signal Transduction (2008) (38)Bayesian Generalized Kernel Mixed Models (2011) (38)FINDING CLUSTERS IN INDEPENDENT COMPONENT ANALYSIS (2003) (38)Joint Modeling of Multiple Related Time Series via the Beta Process (2011) (38)Internal World Models and Supervised Learning (1991) (37)Asymptotic behavior of ℓp-based Laplacian regularization in semi-supervised learning (2016) (37)Robust Optimization for Fairness with Noisy Protected Groups (2020) (37)Nonparametric estimation of the likelihood ratio and divergence functionals (2007) (37)Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation. (2005) (36)Uncertainty Sets for Image Classifiers using Conformal Prediction (2021) (36)ML-LOO: Detecting Adversarial Examples with Feature Attribution (2020) (36)A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection (2011) (35)Learning Halfspaces and Neural Networks with Random Initialization (2015) (35)High-dimensional union support recovery in multivariate regression (2008) (35)Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing (2018) (35)Optimal prediction for sparse linear models? 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