| 2026 | COLT | Fast Score-Based Sampling via Log-Concave Reductions. | Martin J. Wainwright |
| 2023 | AISTATS | Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces. | Eric Xia, Martin J. Wainwright |
| 2022 | COLT | ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm. | Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan |
| 2022 | COLT | Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. | Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett |
| 2022 | ICML | A new similarity measure for covariate shift with applications to nonparametric regression. | Reese Pathak, Cong Ma, Martin J. Wainwright |
| 2022 | ICML | Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning. | Andrea Zanette, Martin J. Wainwright |
| 2020 | AISTATS | Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. | Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu |
| 2020 | COLT | On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration. | Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan |
| 2020 | SP | HopSkipJumpAttack: A Query-Efficient Decision-Based Attack. | Jianbo Chen, Michael I. Jordan, Martin J. Wainwright |
| 2019 | AISTATS | Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. | Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright |
| 2019 | ICLR | L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. | Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan |
| 2018 | AISTATS | Approximate ranking from pairwise comparisons. | Reinhard Heckel, Max Simchowitz, Kannan Ramchandran, Martin J. Wainwright |
| 2018 | COLT | Log-concave sampling: Metropolis-Hastings algorithms are fast! | Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu |
| 2018 | COLT | Breaking the $1/\sqrtn$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time. | Cheng Mao, Ashwin Pananjady, Martin J. Wainwright |
| 2018 | ICML | Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. | Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan |
| 2018 | ICML | Convergence guarantees for a class of non-convex and non-smooth optimization problems. | Koulik Khamaru, Martin J. Wainwright |
| 2018 | ICML | SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate. | Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan |
| 2018 | ISIT | Low Permutation-Rank Matrices: Structural Properties and Noisy Completion. | Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright |
| 2017 | AISTATS | On the Learnability of Fully-Connected Neural Networks. | Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan |
| 2017 | ICML | Convexified Convolutional Neural Networks. | Yuchen Zhang, Percy Liang, Martin J. Wainwright |
| 2017 | ISIT | Denoising linear models with permuted data. | Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade |
| 2016 | ICML | Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues. | Nihar B. Shah, Sivaraman Balakrishnan, Aditya Guntuboyina, Martin J. Wainwright |
| 2016 | ISIT | Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons. | Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright |
| 2016 | ISIT | Sharp minimax bounds for testing discrete monotone distributions. | Yuting Wei, Martin J. Wainwright |
| 2015 | AISTATS | Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. | Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright |
| 2015 | ICML | Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. | Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan |
| 2014 | CISS | Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions. | Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright |
| 2014 | COLT | Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. | Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan |
| 2014 | ISIT | Randomized sketches of convex programs with sharp guarantees. | Mert Pilanci, Martin J. Wainwright |
| 2013 | COLT | Divide and Conquer Kernel Ridge Regression. | Yuchen Zhang, John C. Duchi, Martin J. Wainwright |
| 2013 | FOCS | Local Privacy and Statistical Minimax Rates. | John C. Duchi, Michael I. Jordan, Martin J. Wainwright |
| 2012 | ISIT | Corrupted and missing predictors: Minimax bounds for high-dimensional linear regression. | Po-Ling Loh, Martin J. Wainwright |
| 2012 | ISIT | Quantized stochastic belief propagation: Efficient message-passing for continuous state spaces. | Nima Noorshams, Martin J. Wainwright |
| 2011 | ICML | Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions. | Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright |
| 2010 | ICML | Estimation of (near) low-rank matrices with noise and high-dimensional scaling. | Sahand N. Negahban, Martin J. Wainwright |
| 2010 | ISIT | Information-theoretic bounds on model selection for Gaussian Markov random fields. | Wei Wang, Martin J. Wainwright, Kannan Ramchandran |
| 2010 | ISIT | A near-optimal algorithm for network-constrained averaging with noisy links. | Nima Noorshams, Martin J. Wainwright |
| 2008 | GLOBECOM | Lowering LDPC Error Floors by Postprocessing. | Zhengya Zhang, Lara Dolecek, Borivoje Nikolic, Venkat Anantharam, Martin J. Wainwright |
| 2008 | ICML | Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes. | Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright |
| 2008 | ISIT | High-dimensional analysis of semidefinite relaxations for sparse principal components. | Arash A. Amini, Martin J. Wainwright |
| 2008 | ISIT | Error floors in LDPC codes: Fast simulation, bounds and hardware emulation. | Pamela Lee, Lara Dolecek, Zhengya Zhang, Venkat Anantharam, Borivoje Nikolic, Martin J. Wainwright |
| 2008 | ISIT | High-dimensional subset recovery in noise: Sparse measurements and statistical efficiency. | Dapo Omidiran, Martin J. Wainwright |
| 2008 | ISIT | Information-theoretic limits of graphical model selection in high dimensions. | Narayana P. Santhanam, Martin J. Wainwright |
| 2008 | ISIT | Information-theoretic limits on sparse support recovery: Dense versus sparse measurements. | Wei Wang, Martin J. Wainwright, Kannan Ramchandran |
| 2007 | ICASSP | Convergence Analysis of Reweighted Sum-Product Algorithms. | Tanya G. Roosta, Martin J. Wainwright, Shankar Sastry |
| 2007 | INFOCOM | Network Coding for Distributed Storage Systems. | Alexandros G. Dimakis, Brighten Godfrey, Martin J. Wainwright, Kannan Ramchandran |
| 2007 | ISIT | Nonparametric estimation of the likelihood ratio and divergence functionals. | XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan |
| 2007 | ISIT | Information-theoretic bounds on sparsity recovery in the high-dimensional and noisy setting. | Martin J. Wainwright |
| 2007 | SODA | Probabilistic analysis of linear programming decoding. | Constantinos Daskalakis, Alexandros G. Dimakis, Richard M. Karp, Martin J. Wainwright |
| 2006 | DCC | Low Density Codes Achieve theRate-Distortion Bound. | Emin Martinian, Martin J. Wainwright |
| 2006 | GLOBECOM | Investigation of Error Floors of Structured Low-Density Parity-Check Codes by Hardware Emulation. | Zhengya Zhang, Lara Dolecek, Borivoje Nikolic, Venkat Anantharam, Martin J. Wainwright |
| 2006 | ISIT | Guessing Facets: Polytope Structure and Improved LP Decoder. | Alexandros G. Dimakis, Martin J. Wainwright |
| 2006 | ISIT | Low-density constructions can achieve the Wyner-Ziv and Gelfand-Pinsker bounds. | Emin Martinian, Martin J. Wainwright |
| 2006 | ISIT | On optimal quantization rules for sequential decision problems. | XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan |
| 2006 | ISIT | Universal Quantile Estimation with Feedback in the Communication-Constrained Setting. | Ram Rajagopal, Martin J. Wainwright, Pravin Varaiya |
| 2006 | ITW | Low-density constructions for lossy compression, binning, and coding with side information. | Emin Martinian, Martin J. Wainwright |
| 2005 | ISIT | Lossy source encoding via message-passing and decimation over generalized codewords of LDGM codes. | Martin J. Wainwright, Elitza N. Maneva |
| 2005 | SODA | A new look at survey propagation and its generalizations. | Elitza N. Maneva, Elchanan Mossel, Martin J. Wainwright |
| 2005 | UAI | On the Optimality of Tree-reweighted Max-product Message-passing. | Vladimir Kolmogorov, Martin J. Wainwright |
| 2004 | ICML | Decentralized detection and classification using kernel methods. | XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan |
| 2004 | ISIT | LP decoding corrects a constant fraction of errors. | Jon Feldman, Tal Malkin, Rocco A. Servedio, Cliff Stein, Martin J. Wainwright |
| 2003 | AISTATS | Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching. | Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky |
| 2002 | UAI | A New Class of upper Bounds on the Log Partition Function. | Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky |
| 2001 | ICIP | Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. | Vasily Strela, Javier Portilla, Martin J. Wainwright, Eero P. Simoncelli |
| 2000 | ICIP | Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising. | Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky |