M. Wainwright

Most-cited papers

High-Dimensional Statistics
M. Wainwright
2019700 citations
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Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, M. Wainwright, Michael I. Jordan
2018International Conference on Machine Learning681 citations
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Log-concave sampling: Metropolis-Hastings algorithms are fast!
Raaz Dwivedi, Yuan-Si Chen, M. Wainwright, Bin Yu
2018Annual Conference Computational Learning Theory306 citations
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L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
Jianbo Chen, Le Song, M. Wainwright, Michael I. Jordan
2018International Conference on Learning Representations242 citations
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Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
D. Malik, A. Pananjady, K. Bhatia, K. Khamaru +2 more
2018International Conference on Artificial Intelligence and Statistics241 citations
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FedSplit: An algorithmic framework for fast federated optimization
R. Pathak, M. Wainwright
2020Neural Information Processing Systems220 citations
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Handbook of Graphical Models
M. Maathuis, M. Drton, S. Lauritzen, M. Wainwright
2018206 citations
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Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette, M. Wainwright, Emma Brunskill
2021Neural Information Processing Systems141 citations
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Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients
Yuan-Si Chen, Raaz Dwivedi, M. Wainwright, Bin Yu
2019Journal of machine learning research130 citations
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Stochastic approximation with cone-contractive operators: Sharp 𝓁∞-bounds for Q-learning
M. Wainwright
2019arXiv.org127 citations
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Variance-reduced Q-learning is minimax optimal
M. Wainwright
2019arXiv.org113 citations
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Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery
A. Pananjady, M. Wainwright, T. Courtade
2018IEEE Transactions on Information Theory113 citations Open access
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A unified treatment of multiple testing with prior knowledge using the p-filter
Aaditya Ramdas, R. F. Barber, M. Wainwright, Michael I. Jordan
2017Annals of Statistics112 citations Open access
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Kernel Feature Selection via Conditional Covariance Minimization
Jianbo Chen, Mitchell Stern, M. Wainwright, Michael I. Jordan
2017Neural Information Processing Systems107 citations
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On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
Wen-Long Mou, C. Li, M. Wainwright, P. Bartlett +1 more
2020Annual Conference Computational Learning Theory105 citations
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High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm
Wen-Long Mou, Yian Ma, Yi-An Ma, M. Wainwright +2 more
2019Journal of machine learning research100 citations
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Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities
Yuting Wei, Fanny Yang, M. Wainwright
2017IEEE Transactions on Information Theory92 citations Open access
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Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity
Wen-Long Mou, Nicolas Flammarion, M. Wainwright, P. Bartlett
2019Bernoulli89 citations Open access
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Convergence guarantees for a class of non-convex and non-smooth optimization problems
K. Khamaru, M. Wainwright
2018International Conference on Machine Learning84 citations
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Online control of the false discovery rate with decaying memory
Aaditya Ramdas, Fanny Yang, M. Wainwright, Michael I. Jordan
2017Neural Information Processing Systems79 citations
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Optimally tackling covariate shift in RKHS-based nonparametric regression
Cong Ma, R. Pathak, M. Wainwright
2022Annals of Statistics78 citations Open access
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Singularity, misspecification and the convergence rate of EM
Raaz Dwivedi, Nhat Ho, K. Khamaru, M. Wainwright +2 more
2018Annals of Statistics76 citations Open access
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A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, M. Wainwright
2017Neural Information Processing Systems70 citations
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SAFFRON: an adaptive algorithm for online control of the false discovery rate
Aaditya Ramdas, Tijana Zrnic, M. Wainwright, Michael I. Jordan
2018International Conference on Machine Learning64 citations
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Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis
K. Khamaru, A. Pananjady, F. Ruan, M. Wainwright +1 more
2020SIAM Journal on Mathematics of Data Science58 citations Open access
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On the Learnability of Fully-Connected Neural Networks
Yu-Chen Zhang, J. Lee, M. Wainwright, Michael I. Jordan
2017International Conference on Artificial Intelligence and Statistics56 citations
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Basic tail and concentration bounds
M. Wainwright
2019High-Dimensional Statistics55 citations
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Approximate Ranking from Pairwise Comparisons
Reinhard Heckel, M. Simchowitz, K. Ramchandran, M. Wainwright
2018International Conference on Artificial Intelligence and Statistics50 citations
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A new similarity measure for covariate shift with applications to nonparametric regression
R. Pathak, Cong Ma, M. Wainwright
2022International Conference on Machine Learning43 citations
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Instance-Dependent ℓ∞-Bounds for Policy Evaluation in Tabular Reinforcement Learning
A. Pananjady, M. Wainwright
2021IEEE Transactions on Information Theory41 citations
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Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models
Raaz Dwivedi, Nhat Ho, K. Khamaru, M. Wainwright +2 more
2019International Conference on Artificial Intelligence and Statistics41 citations
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Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
Wen-Long Mou, A. Pananjady, M. Wainwright, P. Bartlett
2021Annual Conference Computational Learning Theory38 citations
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An Efficient Sampling Algorithm for Non-smooth Composite Potentials
Wen-Long Mou, Nicolas Flammarion, M. Wainwright, P. Bartlett
2019Journal of machine learning research37 citations
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Gaussian Graphical Models
M. Maathuis, M. Drton, S. Lauritzen, M. Wainwright
2018Handbook of Graphical Models33 citations
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Optimal policy evaluation using kernel-based temporal difference methods
Yaqi Duan, Mengdi Wang, M. Wainwright
2021Annals of Statistics31 citations Open access
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A sequential algorithm for false discovery rate control on directed acyclic graphs
Aaditya Ramdas, Jianbo Chen, M. Wainwright, Michael I. Jordan
2019Biometrika30 citations
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Instance-Optimality in Optimal Value Estimation: Adaptivity via Variance-Reduced Q-Learning
Eric Xia, K. Khamaru, M. Wainwright, Michael I. Jordan
2021IEEE Transactions on Information Theory26 citations
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A ug 2 01 4 Local Privacy , Data Processing Inequalities , and Minimax Rates
John C. Duchi, Michael I. Jordan, M. Wainwright
201825 citations
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Optimal Rates and Tradeoffs in Multiple Testing
Maxim Rabinovich, Aaditya Ramdas, Michael I. Jordan, M. Wainwright
2017Statistica sinica25 citations Open access
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Near-optimal inference in adaptive linear regression
K. Khamaru, Y. Deshpande, Tor Lattimore, L. Mackey +1 more
2021Annals of Statistics24 citations Open access
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Theoretical guarantees for EM under misspecified Gaussian mixture models
Raaz Dwivedi, Nhat Ho, K. Khamaru, M. Wainwright +1 more
2018Neural Information Processing Systems23 citations
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The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii
Yuting Wei, M. Wainwright, Adityanand Guntuboyina
2017Annals of Statistics23 citations Open access
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Instability, Computational Efficiency and Statistical Accuracy
Nhat Ho, K. Khamaru, Raaz Dwivedi, M. Wainwright +2 more
202022 citations
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DAGGER: A sequential algorithm for FDR control on DAGs
Aaditya Ramdas, Jianbo Chen, M. Wainwright, Michael I. Jordan
2017arXiv.org21 citations
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Low Permutation-Rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah, Sivaraman Balakrishnan, M. Wainwright
2017International Symposium on Information Theory19 citations Open access
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Vaidya walk: A sampling algorithm based on the volumetric barrier
Yuan-Si Chen, Raaz Dwivedi, M. Wainwright, Bin Yu
2017Allerton Conference on Communication, Control, and Computing18 citations
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The Local Geometry of Testing in Ellipses: Tight Control via Localized Kolmogorov Widths
Yuting Wei, M. Wainwright
2017IEEE Transactions on Information Theory17 citations Open access
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Optimal oracle inequalities for solving projected fixed-point equations
Wen-Long Mou, A. Pananjady, M. Wainwright
2020arXiv.org16 citations
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A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
Wen-Long Mou, Nhat Ho, M. Wainwright, P. Bartlett +1 more
2019SIAM Journal on Mathematics of Data Science16 citations Open access
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Bellman Residual Orthogonalization for Offline Reinforcement Learning
Andrea Zanette, M. Wainwright
2022Neural Information Processing Systems15 citations Open access
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