pith. sign in

Michael I. Jordan

Identifiers

  • name variant Michael I. Jordan 0.60 · backfill

Papers (165)

  1. Diffusion-Robust Optimization over Graphs math.OC · 2026 · author #3
  2. CalArena: A Large-Scale Post-Hoc Calibration Benchmark cs.LG · 2026 · author #4
  3. Response Time Enhances Alignment with Heterogeneous Preferences cs.LG · 2026 · author #4
  4. Super-Level-Set Regression: Conditional Quantiles via Volume Minimization stat.ML · 2026 · author #2
  5. Explaining and Preventing Alignment Collapse in Iterative RLHF cs.LG · 2026 · author #3
  6. Anytime Detection of Strategic Deviations in Multi-Agent Systems cs.GT · 2026 · author #3
  7. Conditional Coverage Diagnostics for Conformal Prediction stat.ML · 2025 · author #3
  8. Multivariate Standardized Residuals for Conformal Prediction stat.ML · 2025 · author #3
  9. AutoEval Done Right: Using Synthetic Data for Model Evaluation cs.LG · 2024 · author #5
  10. Explicit Second-Order Min-Max Optimization: Practical Algorithms and Complexity Analysis math.OC · 2022 · author #3
  11. Bayesian Robustness: A Nonasymptotic Viewpoint stat.ML · 2019 · author #5
  12. ML-LOO: Detecting Adversarial Examples with Feature Attribution cs.LG · 2019 · author #5
  13. A Dynamical Systems Perspective on Nesterov Acceleration math.OC · 2019 · author #2
  14. A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements cs.LG · 2019 · author #6
  15. Bridging Theory and Algorithm for Domain Adaptation cs.LG · 2019 · author #4
  16. LS-Tree: Model Interpretation When the Data Are Linguistic cs.LG · 2019 · author #2
  17. A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm math.PR · 2019 · author #5
  18. Quantitative Weak Convergence for Discrete Stochastic Processes math.ST · 2019 · author #3
  19. Theoretically Principled Trade-off between Robustness and Accuracy cs.LG · 2019 · author #6
  20. On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games cs.LG · 2019 · author #2
  21. Probabilistic Multilevel Clustering via Composite Transportation Distance cs.LG · 2018 · author #4
  22. Understanding the Acceleration Phenomenon via High-Resolution Differential Equations math.OC · 2018 · author #3
  23. Rao-Blackwellized Stochastic Gradients for Discrete Distributions stat.ML · 2018 · author #4
  24. A Deep Generative Model for Semi-Supervised Classification with Noisy Labels cs.LG · 2018 · author #5
  25. L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data cs.LG · 2018 · author #4
  26. Is Q-learning Provably Efficient? cs.LG · 2018 · author #4
  27. Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data cs.LG · 2018 · author #5
  28. Information Constraints on Auto-Encoding Variational Bayes cs.LG · 2018 · author #3
  29. On the Local Minima of the Empirical Risk cs.LG · 2018 · author #4
  30. On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding stat.ML · 2018 · author #2
  31. Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning cs.LG · 2018 · author #4
  32. Averaging Stochastic Gradient Descent on Riemannian Manifolds cs.LG · 2018 · author #4
  33. Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification cs.LG · 2018 · author #4
  34. Learning to Explain: An Information-Theoretic Perspective on Model Interpretation cs.LG · 2018 · author #4
  35. Detection limits in the high-dimensional spiked rectangular model math.ST · 2018 · author #2
  36. On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo stat.ML · 2018 · author #5
  37. On Symplectic Optimization stat.CO · 2018 · author #2
  38. RLlib: Abstractions for Distributed Reinforcement Learning cs.AI · 2017 · author #8
  39. Ray: A Distributed Framework for Emerging AI Applications cs.DC · 2017 · author #10
  40. Measuring Cluster Stability for Bayesian Nonparametrics Using the Linear Bootstrap stat.ME · 2017 · author #4
  41. Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent cs.LG · 2017 · author #3
  42. Stochastic Cubic Regularization for Fast Nonconvex Optimization cs.LG · 2017 · author #5
  43. First-order Methods Almost Always Avoid Saddle Points stat.ML · 2017 · author #5
  44. Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked Wigner Model math.ST · 2017 · author #3
  45. Online control of the false discovery rate with decaying memory stat.ME · 2017 · author #4
  46. DAGGER: A sequential algorithm for FDR control on DAGs stat.ME · 2017 · author #4
  47. Covariances, Robustness, and Variational Bayes stat.ME · 2017 · author #3
  48. Partial Transfer Learning with Selective Adversarial Networks cs.LG · 2017 · author #4
  49. Underdamped Langevin MCMC: A non-asymptotic analysis stat.ML · 2017 · author #4
  50. Kernel Feature Selection via Conditional Covariance Minimization stat.ML · 2017 · author #4
  51. Non-convex Finite-Sum Optimization Via SCSG Methods math.OC · 2017 · author #4
  52. Fast Black-box Variational Inference through Stochastic Trust-Region Optimization cs.LG · 2017 · author #2
  53. Gradient Descent Can Take Exponential Time to Escape Saddle Points math.OC · 2017 · author #4
  54. Conditional Adversarial Domain Adaptation cs.LG · 2017 · author #4
  55. Optimal Rates and Tradeoffs in Multiple Testing math.ST · 2017 · author #3
  56. Real-Time Machine Learning: The Missing Pieces cs.DC · 2017 · author #9
  57. How to Escape Saddle Points Efficiently cs.LG · 2017 · author #5
  58. Breaking Locality Accelerates Block Gauss-Seidel math.OC · 2017 · author #5
  59. Decoding from Pooled Data: Sharp Information-Theoretic Bounds math.PR · 2016 · author #5
  60. A Lyapunov Analysis of Momentum Methods in Optimization math.OC · 2016 · author #3
  61. CoCoA: A General Framework for Communication-Efficient Distributed Optimization cs.LG · 2016 · author #5
  62. Less than a Single Pass: Stochastically Controlled Stochastic Gradient Method math.OC · 2016 · author #2
  63. CYCLADES: Conflict-free Asynchronous Machine Learning stat.ML · 2016 · author #6
  64. Communication-Efficient Distributed Statistical Inference stat.ML · 2016 · author #1
  65. Deep Transfer Learning with Joint Adaptation Networks cs.LG · 2016 · author #4
  66. Function-Specific Mixing Times and Concentration Away from Equilibrium math.ST · 2016 · author #3
  67. On kernel methods for covariates that are rankings stat.ML · 2016 · author #4
  68. Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning cs.LG · 2016 · author #5
  69. Gradient Descent Converges to Minimizers stat.ML · 2016 · author #3
  70. Unsupervised Domain Adaptation with Residual Transfer Networks cs.LG · 2016 · author #4
  71. A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation stat.ML · 2016 · author #3
  72. Distributed Optimization with Arbitrary Local Solvers cs.LG · 2015 · author #5
  73. L1-Regularized Distributed Optimization: A Communication-Efficient Primal-Dual Framework cs.LG · 2015 · author #3
  74. Learning Halfspaces and Neural Networks with Random Initialization cs.LG · 2015 · author #4
  75. SparkNet: Training Deep Networks in Spark stat.ML · 2015 · author #4
  76. Asynchronous Complex Analytics in a Distributed Dataflow Architecture cs.DB · 2015 · author #3
  77. $\ell_1$-regularized Neural Networks are Improperly Learnable in Polynomial Time cs.LG · 2015 · author #3
  78. A Linearly-Convergent Stochastic L-BFGS Algorithm math.OC · 2015 · author #3
  79. Perturbed Iterate Analysis for Asynchronous Stochastic Optimization stat.ML · 2015 · author #6
  80. Parallel Correlation Clustering on Big Graphs cs.DC · 2015 · author #6
  81. Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms cs.LG · 2015 · author #2
  82. On the accuracy of self-normalized log-linear models stat.ML · 2015 · author #4
  83. Variational consensus Monte Carlo stat.ML · 2015 · author #3
  84. On the Computational Complexity of High-Dimensional Bayesian Variable Selection math.ST · 2015 · author #3
  85. Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators math.ST · 2015 · author #3
  86. Trust Region Policy Optimization cs.LG · 2015 · author #4
  87. Adding vs. Averaging in Distributed Primal-Dual Optimization cs.LG · 2015 · author #4
  88. Learning Transferable Features with Deep Adaptation Networks cs.LG · 2015 · author #4
  89. A General Analysis of the Convergence of ADMM math.OC · 2015 · author #5
  90. Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds cs.DS · 2015 · author #3
  91. TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries cs.DB · 2015 · author #4
  92. Posteriors, conjugacy, and exponential families for completely random measures math.ST · 2014 · author #3
  93. The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox cs.DB · 2014 · author #8
  94. Communication-Efficient Distributed Dual Coordinate Ascent cs.LG · 2014 · author #7
  95. On the Convergence Rate of Decomposable Submodular Function Minimization math.OC · 2014 · author #3
  96. Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing stat.ML · 2014 · author #4
  97. Optimality guarantees for distributed statistical estimation cs.IT · 2014 · author #2
  98. Lower bounds on the performance of polynomial-time algorithms for sparse linear regression math.ST · 2014 · author #3
  99. Particle Gibbs with Ancestor Sampling stat.CO · 2014 · author #2
  100. Optimal rates for zero-order convex optimization: the power of two function evaluations math.OC · 2013 · author #2
  101. SMaSH: A Benchmarking Toolkit for Human Genome Variant Calling q-bio.GN · 2013 · author #9
  102. MLI: An API for Distributed Machine Learning cs.LG · 2013 · author #8
  103. On statistics, computation and scalability stat.ML · 2013 · author #1
  104. Mixed Membership Models for Time Series stat.ME · 2013 · author #2
  105. Joint modeling of multiple time series via the beta process with application to motion capture segmentation stat.ME · 2013 · author #4
  106. Optimistic Concurrency Control for Distributed Unsupervised Learning cs.LG · 2013 · author #5
  107. Streaming Variational Bayes stat.ML · 2013 · author #5
  108. Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation math.ST · 2013 · author #2
  109. Distributed Low-rank Subspace Segmentation cs.CV · 2013 · author #5
  110. Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates math.ST · 2013 · author #2
  111. Computing Upper and Lower Bounds on Likelihoods in Intractable Networks cs.AI · 2013 · author #2
  112. Mixture Representations for Inference and Learning in Boltzmann Machines cs.LG · 2013 · author #3
  113. Feature allocations, probability functions, and paintboxes math.PR · 2013 · author #3
  114. Loopy Belief Propagation for Approximate Inference: An Empirical Study cs.AI · 2013 · author #3
  115. PEGASUS: A Policy Search Method for Large MDPs and POMDPs cs.AI · 2013 · author #2
  116. A Nested HDP for Hierarchical Topic Models stat.ML · 2013 · author #4
  117. Efficient Stepwise Selection in Decomposable Models cs.AI · 2013 · author #3
  118. Variational MCMC cs.LG · 2013 · author #3
  119. Loopy Belief Propogation and Gibbs Measures cs.AI · 2012 · author #2
  120. Tree-dependent Component Analysis cs.LG · 2012 · author #2
  121. MAD-Bayes: MAP-based Asymptotic Derivations from Bayes stat.ML · 2012 · author #3
  122. Computational and Statistical Tradeoffs via Convex Relaxation math.ST · 2012 · author #2
  123. Ancestor Sampling for Particle Gibbs stat.CO · 2012 · author #2
  124. Nested Hierarchical Dirichlet Processes stat.ML · 2012 · author #4
  125. A Generalized Mean Field Algorithm for Variational Inference in Exponential Families cs.LG · 2012 · author #2
  126. Privacy Aware Learning stat.ML · 2012 · author #2
  127. Active Learning for Crowd-Sourced Databases cs.LG · 2012 · author #4
  128. Evolutionary Inference via the Poisson Indel Process q-bio.PE · 2012 · author #2
  129. Graph partition strategies for generalized mean field inference cs.LG · 2012 · author #2
  130. The DLR Hierarchy of Approximate Inference cs.LG · 2012 · author #2
  131. Bayesian Multicategory Support Vector Machines cs.LG · 2012 · author #2
  132. Cluster and Feature Modeling from Combinatorial Stochastic Processes math.ST · 2012 · author #2
  133. The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features cs.LG · 2012 · author #3
  134. Optimization of Structured Mean Field Objectives stat.ML · 2012 · author #2
  135. EP-GIG Priors and Applications in Bayesian Sparse Learning stat.ML · 2012 · author #4
  136. Coherence Functions with Applications in Large-Margin Classification Methods stat.ML · 2012 · author #3
  137. The asymptotics of ranking algorithms math.ST · 2012 · author #3
  138. Modeling Events with Cascades of Poisson Processes cs.LG · 2012 · author #2
  139. Matrix concentration inequalities via the method of exchangeable pairs math.PR · 2012 · author #2
  140. A Scalable Bootstrap for Massive Data stat.ME · 2011 · author #4
  141. Joint Modeling of Multiple Related Time Series via the Beta Process stat.ME · 2011 · author #3
  142. Combinatorial clustering and the beta negative binomial process stat.ME · 2011 · author #4
  143. Revisiting k-means: New Algorithms via Bayesian Nonparametrics cs.LG · 2011 · author #2
  144. Learning Dependency-Based Compositional Semantics cs.AI · 2011 · author #2
  145. The Stick-Breaking Construction of the Beta Process as a Poisson Process math.ST · 2011 · author #3
  146. Distributed Matrix Completion and Robust Factorization cs.LG · 2011 · author #3
  147. Beta processes, stick-breaking, and power laws stat.ME · 2011 · author #2
  148. Ergodic Mirror Descent math.OC · 2011 · author #4
  149. Cluster Forests stat.ME · 2011 · author #3
  150. Multiway Spectral Clustering: A Margin-Based Perspective stat.ME · 2011 · author #2
  151. Leo Breiman stat.AP · 2011 · author #1
  152. Heavy-Tailed Processes for Selective Shrinkage stat.ML · 2010 · author #2
  153. Tree-Structured Stick Breaking Processes for Hierarchical Data stat.ME · 2010 · author #3
  154. Bayesian Nonparametric Inference of Switching Linear Dynamical Systems stat.ME · 2010 · author #3
  155. Bayesian inference for queueing networks and modeling of internet services stat.ML · 2010 · author #2
  156. Kernel dimension reduction in regression math.ST · 2009 · author #3
  157. A sticky HDP-HMM with application to speaker diarization stat.ME · 2009 · author #3
  158. Estimating divergence functionals and the likelihood ratio by convex risk minimization math.ST · 2008 · author #3
  159. Support union recovery in high-dimensional multivariate regression stat.ML · 2008 · author #3
  160. The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies stat.ML · 2007 · author #3
  161. Comment on "Support Vector Machines with Applications" math.ST · 2006 · author #2
  162. On optimal quantization rules for some problems in sequential decentralized detection math.ST · 2006 · author #3
  163. On surrogate loss functions and $f$-divergences math.ST · 2005 · author #3
  164. Subtree power analysis finds optimal species for comparative genomics q-bio.GN · 2004 · author #2
  165. A direct formulation for sparse PCA using semidefinite programming cs.CE · 2004 · author #3

Mentions

  • 1502.02009 #5 · backfill · confidence 0.70 Michael I. Jordan
  • 1502.01403 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1502.00068 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 2403.07008 #5 · arxiv_oai · confidence 0.70 Michael I. Jordan
  • 1410.6843 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 2512.11779 #3 · arxiv_oai · confidence 0.70 Michael I. Jordan
  • 2605.30853 #3 · arxiv_oai · confidence 0.70 Michael I. Jordan
  • 1409.3809 #8 · backfill · confidence 0.70 Michael I. Jordan
  • 1409.1458 #7 · backfill · confidence 0.70 Michael I. Jordan
  • 1406.6474 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1406.3824 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1405.0782 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1402.1918 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1401.0604 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1312.2139 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 2605.30188 #4 · arxiv_oai · confidence 0.70 Michael I. Jordan
  • 1310.8420 #9 · backfill · confidence 0.70 Michael I. Jordan
  • 1310.5426 #8 · backfill · confidence 0.70 Michael I. Jordan
  • 1309.7804 #1 · backfill · confidence 0.70 Michael I. Jordan
  • 1309.3533 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1308.4747 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1307.8049 #5 · backfill · confidence 0.70 Michael I. Jordan
  • 1307.6769 #5 · backfill · confidence 0.70 Michael I. Jordan
  • 1305.6000 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 2210.12860 #3 · arxiv_oai · confidence 0.70 Michael I. Jordan
  • 1304.5583 #5 · backfill · confidence 0.70 Michael I. Jordan
  • 1302.3586 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1302.3203 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.7393 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.6725 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.6647 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.3878 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.3570 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.2267 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.2266 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.0605 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1301.0554 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1212.2512 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1212.2126 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1211.1073 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 2601.05427 #3 · arxiv_oai · confidence 0.70 Michael I. Jordan
  • 1210.6911 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1210.6738 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1210.2085 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1209.3686 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1207.6327 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1207.4156 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1207.1417 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1206.6863 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1206.5862 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1206.3279 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1205.2658 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1204.4243 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1204.2049 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1204.1688 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1203.3516 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1201.6002 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1112.5016 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1111.4226 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1111.1802 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1111.0352 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1109.6841 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1109.0343 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1107.0789 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1106.0539 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1105.4681 #4 · backfill · confidence 0.70 Michael I. Jordan
  • 1104.2930 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1102.3768 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1101.0929 #1 · backfill · confidence 0.70 Michael I. Jordan
  • 1006.3901 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 1006.1062 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1003.3829 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 1001.3355 #2 · backfill · confidence 0.70 Michael I. Jordan
  • 0908.1854 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 0905.2592 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 0809.0853 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 0808.0711 #3 · backfill · confidence 0.70 Michael I. Jordan
  • 0710.0845 #3 · backfill · confidence 0.70 Michael I. Jordan

Frequent Coauthors