Martin J. Wainwright

351 papers A* 30A 9B 27Misc 1Journal 226Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Residual-as-Teacher: Mitigating Bias Propagation in Student-Teacher Estimation. CoRR Kakei Yamamoto, Martin J. Wainwright
2025	J	`jnl`	Instability, Computational Efficiency and Statistical Accuracy. J. Mach. Learn. Res. Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2025	J	`jnl`	Instance-Adaptive Hypothesis Tests with Heterogeneous Agents. CoRR Flora C. Shi, Martin J. Wainwright, Stephen Bates
2025	J	`jnl`	Score-based sampling without diffusions: Guidance from a simple and modular scheme. CoRR Martin J. Wainwright
2025	J	`jnl`	Wild refitting for black box prediction. CoRR Martin J. Wainwright
2024	J	`jnl`	A Diffusion Process Perspective on Posterior Contraction Rates for Parameters. SIAM J. Math. Data Sci. Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
2024	J	`jnl`	Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning. CoRR Jia Wan, Sean R. Sinclair, Devavrat Shah, Martin J. Wainwright
2024	J	`jnl`	Finite-Sample Guarantees for Best-Response Learning Dynamics in Zero-Sum Matrix Games. CoRR Fathima Zarin Faizal, Asuman E. Ozdaglar, Martin J. Wainwright
2024	J	`jnl`	Sharp Results for Hypothesis Testing with Risk-Sensitive Agents. CoRR Flora C. Shi, Stephen Bates, Martin J. Wainwright
2024	A*	`conf`	Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces. NeurIPS Yaqi Duan, Martin J. Wainwright
2024	J	`jnl`	Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces. CoRR Yaqi Duan, Martin J. Wainwright
2023	—	`conf`	A finite-sample analysis of multi-step temporal difference estimates. L4DC Yaqi Duan, Martin J. Wainwright
2023	J	`jnl`	Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing. CoRR Junhui Cai, Ran Chen, Martin J. Wainwright, Linda Zhao
2023	J	`jnl`	Instance-Dependent Confidence and Early Stopping for Reinforcement Learning. J. Mach. Learn. Res. Eric Xia, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan
2023	A	`conf`	Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces. AISTATS Eric Xia, Martin J. Wainwright
2023	J	`jnl`	Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints. CoRR Reese Pathak, Martin J. Wainwright, Lin Xiao
2023	J	`jnl`	Optimal Oracle Inequalities for Projected Fixed-Point Equations, with Applications to Policy Evaluation. Math. Oper. Res. Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright
2023	J	`jnl`	Revisiting minimum description length complexity in overparameterized models. J. Mach. Learn. Res. Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright
2023	J	`jnl`	Semi-parametric inference based on adaptively collected data. CoRR Licong Lin, Koulik Khamaru, Martin J. Wainwright
2022	A*	`conf`	A new similarity measure for covariate shift with applications to nonparametric regression. ICML Reese Pathak, Cong Ma, Martin J. Wainwright
2022	J	`jnl`	A new similarity measure for covariate shift with applications to nonparametric regression. CoRR Reese Pathak, Cong Ma, Martin J. Wainwright
2022	J	`jnl`	An Efficient Sampling Algorithm for Non-smooth Composite Potentials. J. Mach. Learn. Res. Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett
2022	A*	`conf`	Bellman Residual Orthogonalization for Offline Reinforcement Learning. NeurIPS Andrea Zanette, Martin J. Wainwright
2022	J	`jnl`	Bellman Residual Orthogonalization for Offline Reinforcement Learning. CoRR Andrea Zanette, Martin J. Wainwright
2022	J	`jnl`	Instance-Dependent Confidence and Early Stopping for Reinforcement Learning. CoRR Koulik Khamaru, Eric Xia, Martin J. Wainwright, Michael I. Jordan
2022	J	`jnl`	Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces. CoRR Eric Xia, Martin J. Wainwright
2022	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. IEEE Trans. Inf. Theory Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2022	J	`jnl`	Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency. CoRR Wenlong Mou, Martin J. Wainwright, Peter L. Bartlett
2022	A*	`conf`	Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. COLT Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett
2022	J	`jnl`	Optimal variance-reduced stochastic approximation in Banach spaces. CoRR Wenlong Mou, Koulik Khamaru, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
2022	J	`jnl`	Optimally tackling covariate shift in RKHS-based nonparametric regression. CoRR Cong Ma, Reese Pathak, Martin J. Wainwright
2022	J	`jnl`	Policy evaluation from a single path: Multi-step methods, mixing and mis-specification. CoRR Yaqi Duan, Martin J. Wainwright
2022	J	`jnl`	QuTE: decentralized multiple testing on sensor networks with false discovery rate control. CoRR Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan
2022	A*	`conf`	ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm. COLT Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan
2022	A*	`conf`	Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning. ICML Andrea Zanette, Martin J. Wainwright
2022	J	`jnl`	Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning. CoRR Andrea Zanette, Martin J. Wainwright
2021	J	`jnl`	A Permutation-Based Model for Crowd Labeling: Optimal Estimation and Robustness. IEEE Trans. Inf. Theory Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2021	J	`jnl`	High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm. J. Mach. Learn. Res. Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
2021	J	`jnl`	Instance-Dependent ℓ IEEE Trans. Inf. Theory Ashwin Pananjady, Martin J. Wainwright
2021	J	`jnl`	Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning. CoRR Koulik Khamaru, Eric Xia, Martin J. Wainwright, Michael I. Jordan
2021	J	`jnl`	Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. SIAM J. Math. Data Sci. Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan
2021	J	`jnl`	Minimax Off-Policy Evaluation for Multi-Armed Bandits. CoRR Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
2021	J	`jnl`	Near-optimal inference in adaptive linear regression. CoRR Koulik Khamaru, Yash Deshpande, Lester Mackey, Martin J. Wainwright
2021	J	`jnl`	Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. CoRR Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett
2021	J	`jnl`	Optimal policy evaluation using kernel-based temporal difference methods. CoRR Yaqi Duan, Mengdi Wang, Martin J. Wainwright
2021	J	`jnl`	Preference learning along multiple criteria: A game-theoretic perspective. CoRR Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright
2021	A*	`conf`	Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning. NeurIPS Andrea Zanette, Martin J. Wainwright, Emma Brunskill
2021	J	`jnl`	Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning. CoRR Andrea Zanette, Martin J. Wainwright, Emma Brunskill
2020	J	`jnl`	Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. J. Mach. Learn. Res. Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
2020	J	`jnl`	Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. J. Mach. Learn. Res. Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2020	J	`jnl`	FedSplit: An algorithmic framework for fast federated optimization. CoRR Reese Pathak, Martin J. Wainwright
2020	A*	`conf`	FedSplit: an algorithmic framework for fast federated optimization. NeurIPS Reese Pathak, Martin J. Wainwright
2020	A*	`conf`	HopSkipJumpAttack: A Query-Efficient Decision-Based Attack. SP Jianbo Chen, Michael I. Jordan, Martin J. Wainwright
2020	J	`jnl`	Instability, Computational Efficiency and Statistical Accuracy. CoRR Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2020	J	`jnl`	Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. CoRR Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan
2020	J	`jnl`	Lower bounds in multiple testing: A framework based on derandomized proxies. CoRR Max Rabinovich, Michael I. Jordan, Martin J. Wainwright
2020	A*	`conf`	On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration. COLT Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
2020	J	`jnl`	On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration. CoRR Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
2020	J	`jnl`	Optimal oracle inequalities for solving projected fixed-point equations. CoRR Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright
2020	A*	`conf`	Preference learning along multiple criteria: A game-theoretic perspective. NeurIPS Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright
2020	J	`jnl`	ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm. CoRR Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan
2020	J	`jnl`	Revisiting complexity and the bias-variance tradeoff. CoRR Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright
2020	A	`conf`	Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. AISTATS Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2020	J	`jnl`	The Local Geometry of Testing in Ellipses: Tight Control via Localized Kolmogorov Widths. IEEE Trans. Inf. Theory Yuting Wei, Martin J. Wainwright
2019	J	`jnl`	An Efficient Sampling Algorithm for Non-smooth Composite Potentials. CoRR Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett
2019	J	`jnl`	Challenges with EM in application to weakly identifiable mixture models. CoRR Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
2019	J	`jnl`	Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems. J. Mach. Learn. Res. Koulik Khamaru, Martin J. Wainwright
2019	A	`conf`	Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. AISTATS Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
2019	J	`jnl`	Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities. IEEE Trans. Inf. Theory Yuting Wei, Fanny Yang, Martin J. Wainwright
2019	J	`jnl`	Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. CoRR Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2019	J	`jnl`	Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons. IEEE Trans. Inf. Theory Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2019	J	`jnl`	High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm. CoRR Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
2019	—	`conf`	L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. ICLR (Poster) Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2019	J	`jnl`	Log-concave sampling: Metropolis-Hastings algorithms are fast. J. Mach. Learn. Res. Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
2019	J	`jnl`	Low Permutation-rank Matrices: Structural Properties and Noisy Completion. J. Mach. Learn. Res. Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2019	J	`jnl`	Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing. CoRR Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
2019	J	`jnl`	Stochastic approximation with cone-contractive operators: Sharp 𝓁 CoRR Martin J. Wainwright
2019	J	`jnl`	Value function estimation in Markov reward processes: Instance-dependent 𝓁 CoRR Ashwin Pananjady, Martin J. Wainwright
2019	J	`jnl`	Variance-reduced Q-learning is minimax optimal. CoRR Martin J. Wainwright
2018	J	`jnl`	Approximate Ranking from Pairwise Comparisons. CoRR Reinhard Heckel, Max Simchowitz, Kannan Ramchandran, Martin J. Wainwright
2018	A	`conf`	Approximate ranking from pairwise comparisons. AISTATS Reinhard Heckel, Max Simchowitz, Kannan Ramchandran, Martin J. Wainwright
2018	A*	`conf`	Breaking the $1/\sqrtn$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time. COLT Cheng Mao, Ashwin Pananjady, Martin J. Wainwright
2018	J	`jnl`	Breaking the 1/√n Barrier: Faster Rates for Permutation-based Models in Polynomial Time. CoRR Cheng Mao, Ashwin Pananjady, Martin J. Wainwright
2018	A*	`conf`	Convergence guarantees for a class of non-convex and non-smooth optimization problems. ICML Koulik Khamaru, Martin J. Wainwright
2018	J	`jnl`	Convergence guarantees for a class of non-convex and non-smooth optimization problems. CoRR Koulik Khamaru, Martin J. Wainwright
2018	J	`jnl`	Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems. CoRR Dhruv Malik, Ashwin Pananjady, Kush Bhatia, Koulik Khamaru, Peter L. Bartlett, Martin J. Wainwright
2018	J	`jnl`	Fast MCMC Sampling Algorithms on Polytopes. J. Mach. Learn. Res. Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2018	J	`jnl`	From Gauss to Kolmogorov: Localized Measures of Complexity for Ellipses. CoRR Yuting Wei, Billy Fang, Martin J. Wainwright
2018	J	`jnl`	L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data. CoRR Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2018	A*	`conf`	Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. ICML Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	Learning to Explain: An Information-Theoretic Perspective on Model Interpretation. CoRR Jianbo Chen, Le Song, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	Linear Regression With Shuffled Data: Statistical and Computational Limits of Permutation Recovery. IEEE Trans. Inf. Theory Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2018	A*	`conf`	Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
2018	B	`conf`	Low Permutation-Rank Matrices: Structural Properties and Noisy Completion. ISIT Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2018	A*	`conf`	SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate. ICML Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	SAFFRON: an adaptive algorithm for online control of the false discovery rate. CoRR Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan
2018	A*	`conf`	Theoretical guarantees for EM under misspecified Gaussian mixture models. NeurIPS Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan
2018	J	`jnl`	Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations. CoRR Cheng Mao, Ashwin Pananjady, Martin J. Wainwright
2017	—	`conf`	A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control. NIPS Fanny Yang, Aaditya Ramdas, Kevin Jamieson, Martin J. Wainwright
2017	J	`jnl`	A framework for Multi-A(rmed)/B(andit) testing with online FDR control. CoRR Fanny Yang, Aaditya Ramdas, Kevin Jamieson, Martin J. Wainwright
2017	A*	`conf`	Convexified Convolutional Neural Networks. ICML Yuchen Zhang, Percy Liang, Martin J. Wainwright
2017	J	`jnl`	DAGGER: A sequential algorithm for FDR control on DAGs. CoRR Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan
2017	J	`jnl`	Denoising Linear Models with Permuted Data. CoRR Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2017	B	`conf`	Denoising linear models with permuted data. ISIT Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2017	—	`conf`	Early stopping for kernel boosting algorithms: A general analysis with localized complexities. NIPS Yuting Wei, Fanny Yang, Martin J. Wainwright
2017	J	`jnl`	Early stopping for kernel boosting algorithms: A general analysis with localized complexities. CoRR Yuting Wei, Fanny Yang, Martin J. Wainwright
2017	—	`conf`	Kernel Feature Selection via Conditional Covariance Minimization. NIPS Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan
2017	J	`jnl`	Kernel Feature Selection via Conditional Covariance Minimization. CoRR Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan
2017	J	`jnl`	Low Permutation-rank Matrices: Structural Properties and Noisy Completion. CoRR Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2017	J	`jnl`	Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence. SIAM J. Optim. Mert Pilanci, Martin J. Wainwright
2017	A	`conf`	On the Learnability of Fully-Connected Neural Networks. AISTATS Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan
2017	—	`conf`	Online control of the false discovery rate with decaying memory. NIPS Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan
2017	J	`jnl`	Online control of the false discovery rate with decaying memory. CoRR Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan
2017	—	`conf`	QuTE: Decentralized multiple testing on sensor networks with false discovery rate control. CDC Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan
2017	J	`jnl`	Simple, Robust and Optimal Ranking from Pairwise Comparisons. J. Mach. Learn. Res. Nihar B. Shah, Martin J. Wainwright
2017	J	`jnl`	Statistical and Computational Guarantees for the Baum-Welch Algorithm. J. Mach. Learn. Res. Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright
2017	J	`jnl`	Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues. IEEE Trans. Inf. Theory Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina, Martin J. Wainwright
2017	J	`jnl`	The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii. CoRR Yuting Wei, Martin J. Wainwright, Adityanand Guntuboyina
2017	J	`jnl`	The local geometry of testing in ellipses: Tight control via localized Kolomogorov widths. CoRR Yuting Wei, Martin J. Wainwright
2017	—	`conf`	Vaidya walk: A sampling algorithm based on the volumetric barrier. Allerton Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
2017	J	`jnl`	Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons. CoRR Ashwin Pananjady, Cheng Mao, Vidya Muthukumar, Martin J. Wainwright, Thomas A. Courtade
2016	J	`jnl`	A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness. CoRR Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2016	J	`jnl`	A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees. J. Mach. Learn. Res. Michael Chichignoud, Johannes Lederer, Martin J. Wainwright
2016	J	`jnl`	Active Ranking from Pairwise Comparisons and the Futility of Parametric Assumptions. CoRR Reinhard Heckel, Nihar B. Shah, Kannan Ramchandran, Martin J. Wainwright
2016	J	`jnl`	Asymptotic behavior of ℓ CoRR Ahmed El Alaoui, Xiang Cheng, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan
2016	J	`jnl`	Convexified Convolutional Neural Networks. CoRR Yuchen Zhang, Percy Liang, Martin J. Wainwright
2016	J	`jnl`	Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. J. Mach. Learn. Res. Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2016	J	`jnl`	Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons. CoRR Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2016	B	`conf`	Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons. ISIT Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
2016	J	`jnl`	Function-Specific Mixing Times and Concentration Away from Equilibrium. CoRR Maxim Rabinovich, Aaditya Ramdas, Michael I. Jordan, Martin J. Wainwright
2016	J	`jnl`	Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares. J. Mach. Learn. Res. Mert Pilanci, Martin J. Wainwright
2016	J	`jnl`	Linear Regression with an Unknown Permutation: Statistical and Computational Limits. CoRR Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2016	—	`conf`	Linear regression with an unknown permutation: Statistical and computational limits. Allerton Ashwin Pananjady, Martin J. Wainwright, Thomas A. Courtade
2016	—	`conf`	Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences. NIPS Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael I. Jordan
2016	J	`jnl`	Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences. CoRR Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael I. Jordan
2016	J	`jnl`	Minimax Optimal Procedures for Locally Private Estimation. CoRR John C. Duchi, Martin J. Wainwright, Michael I. Jordan
2016	B	`conf`	Sharp minimax bounds for testing discrete monotone distributions. ISIT Yuting Wei, Martin J. Wainwright
2016	A*	`conf`	Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues. ICML Nihar B. Shah, Sivaraman Balakrishnan, Aditya Guntuboyina, Martin J. Wainwright
2016	J	`jnl`	Universality of Mallows' and degeneracy of Kendall's kernels for rankings. CoRR Horia Mania, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan, Benjamin Recht
2015	A*	`conf`	Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. ICML Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
2015	J	`jnl`	Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. CoRR Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
2015	J	`jnl`	Divide and conquer kernel ridge regression: a distributed algorithm with minimax optimal rates. J. Mach. Learn. Res. Yuchen Zhang, John C. Duchi, Martin J. Wainwright
2015	A	`conf`	Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. AISTATS Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2015	J	`jnl`	Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence. CoRR Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2015	J	`jnl`	Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees. CoRR Yudong Chen, Martin J. Wainwright
2015	J	`jnl`	Learning Halfspaces and Neural Networks with Random Initialization. CoRR Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan
2015	J	`jnl`	Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence. CoRR Mert Pilanci, Martin J. Wainwright
2015	J	`jnl`	On the Computational Complexity of High-Dimensional Bayesian Variable Selection. CoRR Yun Yang, Martin J. Wainwright, Michael I. Jordan
2015	J	`jnl`	Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations. IEEE Trans. Inf. Theory John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Andre Wibisono
2015	J	`jnl`	Randomized Sketches of Convex Programs With Sharp Guarantees. IEEE Trans. Inf. Theory Mert Pilanci, Martin J. Wainwright
2015	J	`jnl`	Randomized sketches for kernels: Fast and optimal non-parametric regression. CoRR Yun Yang, Mert Pilanci, Martin J. Wainwright
2015	J	`jnl`	Regularized M-estimators with nonconvexity: statistical and algorithmic theory for local optima. J. Mach. Learn. Res. Po-Ling Loh, Martin J. Wainwright
2015	J	`jnl`	Simple, Robust and Optimal Ranking from Pairwise Comparisons. CoRR Nihar B. Shah, Martin J. Wainwright
2015	J	`jnl`	Sparse learning via Boolean relaxations. Math. Program. Mert Pilanci, Martin J. Wainwright, Laurent El Ghaoui
2015	J	`jnl`	Statistical and Computational Guarantees for the Baum-Welch Algorithm. CoRR Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright
2015	—	`conf`	Statistical and computational guarantees for the Baum-Welch algorithm. Allerton Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright
2015	J	`jnl`	Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues. CoRR Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina, Martin J. Wainwright
2014	J	`jnl`	Early stopping and non-parametric regression: an optimal data-dependent stopping rule. J. Mach. Learn. Res. Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2014	J	`jnl`	Information-theoretic lower bounds for distributed statistical estimation with communication constraints. CoRR John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Yuchen Zhang
2014	J	`jnl`	Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares. CoRR Mert Pilanci, Martin J. Wainwright
2014	A*	`conf`	Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. COLT Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
2014	J	`jnl`	Lower bounds on the performance of polynomial-time algorithms for sparse linear regression. CoRR Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
2014	J	`jnl`	Privacy Aware Learning. J. ACM John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2014	J	`jnl`	Randomized Sketches of Convex Programs with Sharp Guarantees. CoRR Mert Pilanci, Martin J. Wainwright
2014	B	`conf`	Randomized sketches of convex programs with sharp guarantees. ISIT Mert Pilanci, Martin J. Wainwright
2014	J	`jnl`	Statistical guarantees for the EM algorithm: From population to sample-based analysis. CoRR Sivaraman Balakrishnan, Martin J. Wainwright, Bin Yu
2014	Misc	`conf`	Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions. CISS Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2014	J	`jnl`	Support recovery without incoherence: A case for nonconvex regularization. CoRR Po-Ling Loh, Martin J. Wainwright
2014	J	`jnl`	When is it Better to Compare than to Score? CoRR Nihar B. Shah, Sivaraman Balakrishnan, Joseph K. Bradley, Abhay Parekh, Kannan Ramchandran, Martin J. Wainwright
2013	J	`jnl`	A New Class of Upper Bounds on the Log Partition Function CoRR Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2013	J	`jnl`	Belief propagation for continuous state spaces: stochastic message-passing with quantitative guarantees. J. Mach. Learn. Res. Nima Noorshams, Martin J. Wainwright
2013	J	`jnl`	Communication-efficient algorithms for statistical optimization. J. Mach. Learn. Res. Yuchen Zhang, John C. Duchi, Martin J. Wainwright
2013	J	`jnl`	Distance-based and continuum Fano inequalities with applications to statistical estimation. CoRR John C. Duchi, Martin J. Wainwright
2013	A*	`conf`	Divide and Conquer Kernel Ridge Regression. COLT Yuchen Zhang, John C. Duchi, Martin J. Wainwright
2013	J	`jnl`	Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates CoRR Yuchen Zhang, John C. Duchi, Martin J. Wainwright
2013	—	`conf`	Information-theoretic lower bounds for distributed statistical estimation with communication constraints. NIPS Yuchen Zhang, John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2013	J	`jnl`	Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation CoRR John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2013	—	`conf`	Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation. NIPS John C. Duchi, Martin J. Wainwright, Michael I. Jordan
2013	J	`jnl`	Local Privacy and Statistical Minimax Rates CoRR John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2013	A*	`conf`	Local Privacy and Statistical Minimax Rates. FOCS John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2013	—	`conf`	Local privacy and statistical minimax rates. Allerton John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2013	J	`jnl`	Non-Asymptotic Analysis of an Optimal Algorithm for Network-Constrained Averaging with Noisy Links CoRR Nima Noorshams, Martin J. Wainwright
2013	J	`jnl`	Optimal rates for zero-order optimization: the power of two function evaluations. CoRR John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Andre Wibisono
2013	J	`jnl`	Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima CoRR Po-Ling Loh, Martin J. Wainwright
2013	—	`conf`	Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima. NIPS Po-Ling Loh, Martin J. Wainwright
2013	J	`jnl`	Stochastic Belief Propagation: A Low-Complexity Alternative to the Sum-Product Algorithm. IEEE Trans. Inf. Theory Nima Noorshams, Martin J. Wainwright
2012	J	`jnl`	Approximation properties of certain operator-induced norms on Hilbert spaces. J. Approx. Theory Arash A. Amini, Martin J. Wainwright
2012	J	`jnl`	Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees CoRR Nima Noorshams, Martin J. Wainwright
2012	—	`conf`	Communication-Efficient Algorithms for Statistical Optimization. NIPS Yuchen Zhang, John C. Duchi, Martin J. Wainwright
2012	—	`conf`	Communication-efficient algorithms for statistical optimization. CDC Yuchen Zhang, John C. Duchi, Martin J. Wainwright
2012	J	`jnl`	Comunication-Efficient Algorithms for Statistical Optimization CoRR Yuchen Zhang, John C. Duchi, Martin J. Wainwright
2012	B	`conf`	Corrupted and missing predictors: Minimax bounds for high-dimensional linear regression. ISIT Po-Ling Loh, Martin J. Wainwright
2012	J	`jnl`	Discussion: Latent variable graphical model selection via convex optimization CoRR Martin J. Wainwright
2012	J	`jnl`	Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling. IEEE Trans. Autom. Control. John C. Duchi, Alekh Agarwal, Martin J. Wainwright
2012	—	`conf`	Dual averaging for distributed optimization. Allerton Conference John C. Duchi, Alekh Agarwal, Martin J. Wainwright
2012	—	`conf`	FASt global convergence of gradient methods for solving regularized M-estimation. SSP Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2012	—	`conf`	Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods. NIPS John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Andre Wibisono
2012	J	`jnl`	Information-Theoretic Limits of Selecting Binary Graphical Models in High Dimensions. IEEE Trans. Inf. Theory Narayana P. Santhanam, Martin J. Wainwright
2012	J	`jnl`	Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization. IEEE Trans. Inf. Theory Alekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar, Martin J. Wainwright
2012	J	`jnl`	Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming. J. Mach. Learn. Res. Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2012	J	`jnl`	On the optimality of tree-reweighted max-product message-passing CoRR Vladimir Kolmogorov, Martin J. Wainwright
2012	J	`jnl`	Privacy Aware Learning CoRR John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2012	—	`conf`	Privacy Aware Learning. NIPS John C. Duchi, Michael I. Jordan, Martin J. Wainwright
2012	B	`conf`	Quantized stochastic belief propagation: Efficient message-passing for continuous state spaces. ISIT Nima Noorshams, Martin J. Wainwright
2012	J	`jnl`	Randomized Smoothing for Stochastic Optimization. SIAM J. Optim. John C. Duchi, Peter L. Bartlett, Martin J. Wainwright
2012	—	`conf`	Randomized smoothing for (parallel) stochastic optimization. CDC John C. Duchi, Peter L. Bartlett, Martin J. Wainwright
2012	J	`jnl`	Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise. J. Mach. Learn. Res. Sahand N. Negahban, Martin J. Wainwright
2012	J	`jnl`	Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions CoRR Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2012	—	`conf`	Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions. NIPS Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2012	—	`conf`	Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses. NIPS Po-Ling Loh, Martin J. Wainwright
2011	—	`conf`	A More Powerful Two-Sample Test in High Dimensions using Random Projection. NIPS Miles Lopes, Laurent Jacob, Martin J. Wainwright
2011	—	`conf`	Early stopping for non-parametric regression: An optimal data-dependent stopping rule. Allerton Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2011	J	`jnl`	Fast global convergence of gradient methods for high-dimensional statistical recovery CoRR Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2011	J	`jnl`	High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity CoRR Po-Ling Loh, Martin J. Wainwright
2011	—	`conf`	High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity. NIPS Po-Ling Loh, Martin J. Wainwright
2011	J	`jnl`	Minimax Rates of Estimation for High-Dimensional Linear Regression Over IEEE Trans. Inf. Theory Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2011	J	`jnl`	Network-Based Consensus Averaging With General Noisy Channels. IEEE Trans. Signal Process. Ram Rajagopal, Martin J. Wainwright
2011	J	`jnl`	Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions CoRR Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2011	A*	`conf`	Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions. ICML Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2011	J	`jnl`	Non-Asymptotic Analysis of an Optimal Algorithm for Network-Constrained Averaging With Noisy Links. IEEE J. Sel. Top. Signal Process. Nima Noorshams, Martin J. Wainwright
2011	J	`jnl`	Simultaneous Support Recovery in High Dimensions: Benefits and Perils of Block IEEE Trans. Inf. Theory Sahand N. Negahban, Martin J. Wainwright
2011	J	`jnl`	Stochastic Belief Propagation: Low-Complexity Message-Passing with Guarantees CoRR Nima Noorshams, Martin J. Wainwright
2011	—	`conf`	Stochastic belief propagation: Low-complexity message-passing with guarantees. Allerton Nima Noorshams, Martin J. Wainwright
2010	B	`conf`	A near-optimal algorithm for network-constrained averaging with noisy links. ISIT Nima Noorshams, Martin J. Wainwright
2010	J	`jnl`	A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers CoRR Sahand N. Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu
2010	J	`jnl`	An Efficient 10GBASE-T Ethernet LDPC Decoder Design With Low Error Floors. IEEE J. Solid State Circuits Zhengya Zhang, Venkat Anantharam, Martin J. Wainwright, Borivoje Nikolic
2010	J	`jnl`	Analysis of absorbing sets and fully absorbing sets of array-based LDPC codes. IEEE Trans. Inf. Theory Lara Dolecek, Zhengya Zhang, Venkat Anantharam, Martin J. Wainwright, Borivoje Nikolic
2010	—	`conf`	Distributed Dual Averaging In Networks. NIPS John C. Duchi, Alekh Agarwal, Martin J. Wainwright
2010	J	`jnl`	Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization. IEEE Trans. Inf. Theory XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2010	A*	`conf`	Estimation of (near) low-rank matrices with noise and high-dimensional scaling. ICML Sahand N. Negahban, Martin J. Wainwright
2010	—	`conf`	Fast global convergence rates of gradient methods for high-dimensional statistical recovery. NIPS Alekh Agarwal, Sahand N. Negahban, Martin J. Wainwright
2010	J	`jnl`	High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency. J. Mach. Learn. Res. Dapo Omidiran, Martin J. Wainwright
2010	B	`conf`	Information-theoretic bounds on model selection for Gaussian Markov random fields. ISIT Wei Wang, Martin J. Wainwright, Kannan Ramchandran
2010	J	`jnl`	Information-theoretic limits on sparse signal recovery: dense versus sparse measurement matrices. IEEE Trans. Inf. Theory Wei Wang, Martin J. Wainwright, Kannan Ramchandran
2010	J	`jnl`	Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization. CoRR Alekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar, Martin J. Wainwright
2010	—	`conf`	Lossy source coding with sparse graph codes: A variational formulation of soft decimation. Allerton Nima Noorshams, Martin J. Wainwright
2010	J	`jnl`	Lossy source compression using low-density generator matrix codes: analysis and algorithms. IEEE Trans. Inf. Theory Martin J. Wainwright, Elitza N. Maneva, Emin Martinian
2010	J	`jnl`	Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes. J. Mach. Learn. Res. Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright
2010	J	`jnl`	Minimax-optimal rates for sparse additive models over kernel classes via convex programming. CoRR Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2010	J	`jnl`	Network coding for distributed storage systems. IEEE Trans. Inf. Theory Alexandros G. Dimakis, Brighten Godfrey, Yunnan Wu, Martin J. Wainwright, Kannan Ramchandran
2010	J	`jnl`	Restricted Eigenvalue Properties for Correlated Gaussian Designs. J. Mach. Learn. Res. Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2010	J	`jnl`	Restricted strong convexity and weighted matrix completion: Optimal bounds with noise CoRR Sahand N. Negahban, Martin J. Wainwright
2009	—	`conf`	A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers. NIPS Sahand N. Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu
2009	J	`jnl`	Design of LDPC decoders for improved low error rate performance: quantization and algorithm choices. IEEE Trans. Commun. Zhengya Zhang, Lara Dolecek, Borivoje Nikolic, Venkat Anantharam, Martin J. Wainwright
2009	J	`jnl`	Guessing facets: polytope structure and improved LP decoder. IEEE Trans. Inf. Theory Alexandros G. Dimakis, Amin A. Gohari, Martin J. Wainwright
2009	J	`jnl`	Information-theoretic limits of selecting binary graphical models in high dimensions CoRR Narayana P. Santhanam, Martin J. Wainwright
2009	J	`jnl`	Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting. IEEE Trans. Inf. Theory Martin J. Wainwright
2009	—	`conf`	Information-theoretic lower bounds on the oracle complexity of convex optimization. NIPS Alekh Agarwal, Peter L. Bartlett, Pradeep Ravikumar, Martin J. Wainwright
2009	J	`jnl`	Low-Density Graph Codes That Are Optimal for Binning and Coding With Side Information. IEEE Trans. Inf. Theory Martin J. Wainwright, Emin Martinian
2009	—	`conf`	Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness. NIPS Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2009	—	`conf`	Minimax rates of convergence for high-dimensional regression under ℓq-ball sparsity. Allerton Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2009	J	`jnl`	Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls. CoRR Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2009	J	`jnl`	Predicting error floors of structured LDPC codes: deterministic bounds and estimates. IEEE J. Sel. Areas Commun. Lara Dolecek, Pamela Lee, Zhengya Zhang, Venkat Anantharam, Borivoje Nikolic, Martin J. Wainwright
2009	J	`jnl`	Sharp thresholds for high-dimensional and noisy sparsity recovery using l1-constrained quadratic programming (Lasso). IEEE Trans. Inf. Theory Martin J. Wainwright
2009	J	`jnl`	Simultaneous support recovery in high dimensions: Benefits and perils of block l CoRR Sahand N. Negahban, Martin J. Wainwright
2008	J	`jnl`	Convergence Analysis of Reweighted Sum-Product Algorithms. IEEE Trans. Signal Process. Tanya G. Roosta, Martin J. Wainwright, Shankar S. Sastry
2008	B	`conf`	Error floors in LDPC codes: Fast simulation, bounds and hardware emulation. ISIT Pamela Lee, Lara Dolecek, Zhengya Zhang, Venkat Anantharam, Borivoje Nikolic, Martin J. Wainwright
2008	J	`jnl`	Estimating divergence functionals and the likelihood ratio by convex risk minimization CoRR XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2008	J	`jnl`	Geographic Gossip: Efficient Averaging for Sensor Networks. IEEE Trans. Signal Process. Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2008	J	`jnl`	Graphical Models, Exponential Families, and Variational Inference. Found. Trends Mach. Learn. Martin J. Wainwright, Michael I. Jordan
2008	B	`conf`	High-dimensional analysis of semidefinite relaxations for sparse principal components. ISIT Arash A. Amini, Martin J. Wainwright
2008	J	`jnl`	High-dimensional analysis of semidefinite relaxations for sparse principal components. CoRR Arash A. Amini, Martin J. Wainwright
2008	B	`conf`	High-dimensional subset recovery in noise: Sparse measurements and statistical efficiency. ISIT Dapo Omidiran, Martin J. Wainwright
2008	J	`jnl`	High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency CoRR Dapo Omidiran, Martin J. Wainwright
2008	—	`conf`	High-dimensional support union recovery in multivariate regression. NIPS Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan
2008	B	`conf`	Information-theoretic limits of graphical model selection in high dimensions. ISIT Narayana P. Santhanam, Martin J. Wainwright
2008	J	`jnl`	Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices CoRR Wei Wang, Martin J. Wainwright, Kannan Ramchandran
2008	B	`conf`	Information-theoretic limits on sparse support recovery: Dense versus sparse measurements. ISIT Wei Wang, Martin J. Wainwright, Kannan Ramchandran
2008	J	`jnl`	Lower Bounds on the Rate-Distortion Function of LDGM Codes CoRR Alexandros G. Dimakis, Martin J. Wainwright, Kannan Ramchandran
2008	B	`conf`	Lowering LDPC Error Floors by Postprocessing. GLOBECOM Zhengya Zhang, Lara Dolecek, Borivoje Nikolic, Venkat Anantharam, Martin J. Wainwright
2008	A*	`conf`	Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes. ICML Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright
2008	—	`conf`	Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of l NIPS Pradeep Ravikumar, Garvesh Raskutti, Martin J. Wainwright, Bin Yu
2008	J	`jnl`	Network Coding for Distributed Storage Systems CoRR Alexandros G. Dimakis, Brighten Godfrey, Yunnan Wu, Martin J. Wainwright, Kannan Ramchandran
2008	J	`jnl`	Network-based consensus averaging with general noisy channels CoRR Ram Rajagopal, Martin J. Wainwright
2008	J	`jnl`	On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection. IEEE Trans. Inf. Theory XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2008	—	`conf`	Phase transitions for high-dimensional joint support recovery. NIPS Sahand N. Negahban, Martin J. Wainwright
2008	J	`jnl`	Probabilistic Analysis of Linear Programming Decoding. IEEE Trans. Inf. Theory Constantinos Daskalakis, Alexandros G. Dimakis, Richard M. Karp, Martin J. Wainwright
2008	—	`conf`	Sample complexity of determining structures of graphical models. Allerton Narayana Santhanam, Martin J. Wainwright
2008	—	`conf`	Spectral clustering in high-dimensions: Necessary and sufficient conditions for dense and sparse mixtures. Allerton Martin J. Wainwright
2008	—	`conf`	Union support recovery in high-dimensional multivariate regression. Allerton Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan
2007	J	`jnl`	A new look at survey propagation and its generalizations. J. ACM Elitza N. Maneva, Elchanan Mossel, Martin J. Wainwright
2007	—	`conf`	Analysis of Absorbing Sets for Array-Based LDPC Codes. ICC Lara Dolecek, Zhengya Zhang, Venkat Anantharam, Martin J. Wainwright, Borivoje Nikolic
2007	—	`conf`	Convergence Analysis of Reweighted Sum-Product Algorithms. ICASSP (2) Tanya G. Roosta, Martin J. Wainwright, Shankar Sastry
2007	—	`conf`	Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization. NIPS XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2007	J	`jnl`	Geographic Gossip: Efficient Averaging for Sensor Networks CoRR Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2007	J	`jnl`	Guessing Facets: Polytope Structure and Improved LP Decoding CoRR Alexandros G. Dimakis, Amin A. Gohari, Martin J. Wainwright
2007	B	`conf`	Information-theoretic bounds on sparsity recovery in the high-dimensional and noisy setting. ISIT Martin J. Wainwright
2007	J	`jnl`	Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting CoRR Martin J. Wainwright
2007	J	`jnl`	LP Decoding Corrects a Constant Fraction of Errors. IEEE Trans. Inf. Theory Jon Feldman, Tal Malkin, Rocco A. Servedio, Clifford Stein, Martin J. Wainwright
2007	—	`conf`	Loop Series and Bethe Variational Bounds in Attractive Graphical Models. NIPS Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky
2007	J	`jnl`	Low-density graph codes that are optimal for source/channel coding and binning CoRR Martin J. Wainwright, Emin Martinian
2007	J	`jnl`	Network Coding for Distributed Storage Systems CoRR Alexandros G. Dimakis, Brighten Godfrey, Martin J. Wainwright, Kannan Ramchandran
2007	A*	`conf`	Network Coding for Distributed Storage Systems. INFOCOM Alexandros G. Dimakis, Brighten Godfrey, Martin J. Wainwright, Kannan Ramchandran
2007	B	`conf`	Nonparametric estimation of the likelihood ratio and divergence functionals. ISIT XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2007	J	`jnl`	Probabilistic Analysis of Linear Programming Decoding CoRR Constantinos Daskalakis, Alexandros G. Dimakis, Richard M. Karp, Martin J. Wainwright
2007	A*	`conf`	Probabilistic analysis of linear programming decoding. SODA Constantinos Daskalakis, Alexandros G. Dimakis, Richard M. Karp, Martin J. Wainwright
2007	—	`conf`	Quantization Effects in Low-Density Parity-Check Decoders. ICC Zhengya Zhang, Lara Dolecek, Martin J. Wainwright, Venkat Anantharam, Borivoje Nikolic
2007	—	`conf`	Robust message-passing for statistical inference in sensor networks. IPSN Jeremy Schiff, Dominic Antonelli, Alexandros G. Dimakis, David Chu, Martin J. Wainwright
2007	J	`jnl`	Sparse Graph Codes for Side Information and Binning. IEEE Signal Process. Mag. Martin J. Wainwright
2007	J	`jnl`	Universal Quantile Estimation with Feedback in the Communication-Constrained Setting CoRR Ram Rajagopal, Martin J. Wainwright
2006	J	`jnl`	Analysis of LDGM and compound codes for lossy compression and binning CoRR Emin Martinian, Martin J. Wainwright
2006	J	`jnl`	Data association based on optimization in graphical models with application to sensor networks. Math. Comput. Model. Lei Chen, Martin J. Wainwright, Müjdat Çetin, Alan S. Willsky
2006	J	`jnl`	Distributed fusion in sensor networks. IEEE Signal Process. Mag. Müjdat Çetin, Lei Chen, John W. Fisher III, Alexander T. Ihler, Randolph L. Moses, Martin J. Wainwright, Alan S. Willsky
2006	J	`jnl`	Estimating the "Wrong" Graphical Model: Benefits in the Computation-Limited Setting. J. Mach. Learn. Res. Martin J. Wainwright
2006	J	`jnl`	Geographic Gossip: Efficient Aggregation for Sensor Networks CoRR Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2006	—	`conf`	Geographic gossip: efficient aggregation for sensor networks. IPSN Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright
2006	J	`jnl`	Guessing Facets: Polytope Structure and Improved LP Decoder CoRR Alexandros G. Dimakis, Martin J. Wainwright
2006	B	`conf`	Guessing Facets: Polytope Structure and Improved LP Decoder. ISIT Alexandros G. Dimakis, Martin J. Wainwright
2006	—	`conf`	High-Dimensional Graphical Model Selection Using ℓ NIPS Martin J. Wainwright, Pradeep Ravikumar, John D. Lafferty
2006	J	`jnl`	Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting CoRR Martin J. Wainwright
2006	B	`conf`	Investigation of Error Floors of Structured Low-Density Parity-Check Codes by Hardware Emulation. GLOBECOM Zhengya Zhang, Lara Dolecek, Borivoje Nikolic, Venkat Anantharam, Martin J. Wainwright
2006	J	`jnl`	Log-determinant relaxation for approximate inference in discrete Markov random fields. IEEE Trans. Signal Process. Martin J. Wainwright, Michael I. Jordan
2006	B	`conf`	Low Density Codes Achieve theRate-Distortion Bound. DCC Emin Martinian, Martin J. Wainwright
2006	J	`jnl`	Low density codes achieve the rate-distortion bound CoRR Emin Martinian, Martin J. Wainwright
2006	J	`jnl`	Low-density constructions can achieve the Wyner-Ziv and Gelfand-Pinsker bounds CoRR Emin Martinian, Martin J. Wainwright
2006	B	`conf`	Low-density constructions can achieve the Wyner-Ziv and Gelfand-Pinsker bounds. ISIT Emin Martinian, Martin J. Wainwright
2006	B	`conf`	Low-density constructions for lossy compression, binning, and coding with side information. ITW Emin Martinian, Martin J. Wainwright
2006	B	`conf`	On optimal quantization rules for sequential decision problems. ISIT XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2006	J	`jnl`	On optimal quantization rules for some sequential decision problems CoRR XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2006	J	`jnl`	Sharp thresholds for high-dimensional and noisy recovery of sparsity CoRR Martin J. Wainwright
2006	B	`conf`	Universal Quantile Estimation with Feedback in the Communication-Constrained Setting. ISIT Ram Rajagopal, Martin J. Wainwright, Pravin Varaiya
2005	J	`jnl`	A new class of upper bounds on the log partition function. IEEE Trans. Inf. Theory Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2005	A*	`conf`	A new look at survey propagation and its generalizations. SODA Elitza N. Maneva, Elchanan Mossel, Martin J. Wainwright
2005	—	`conf`	Divergences, surrogate loss functions and experimental design. NIPS XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2005	—	`conf`	Estimating the wrong Markov random field: Benefits in the computation-limited setting. NIPS Martin J. Wainwright
2005	J	`jnl`	Lossy source encoding via message-passing and decimation over generalized codewords of LDGM codes CoRR Martin J. Wainwright, Elitza N. Maneva
2005	B	`conf`	Lossy source encoding via message-passing and decimation over generalized codewords of LDGM codes. ISIT Martin J. Wainwright, Elitza N. Maneva
2005	J	`jnl`	MAP estimation via agreement on (hyper)trees: Message-passing and linear programming CoRR Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2005	J	`jnl`	MAP estimation via agreement on trees: message-passing and linear programming. IEEE Trans. Inf. Theory Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2005	J	`jnl`	Nonparametric decentralized detection using kernel methods. IEEE Trans. Signal Process. XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2005	J	`jnl`	On divergences, surrogate loss functions, and decentralized detection CoRR XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2005	A	`conf`	On the Optimality of Tree-reweighted Max-product Message-passing. UAI Vladimir Kolmogorov, Martin J. Wainwright
2005	J	`jnl`	Using linear programming to Decode Binary linear codes. IEEE Trans. Inf. Theory Jon Feldman, Martin J. Wainwright, David R. Karger
2004	J	`jnl`	A New Look at Survey Propagation and its Generalizations CoRR Elitza N. Maneva, Elchanan Mossel, Martin J. Wainwright
2004	A*	`conf`	Decentralized detection and classification using kernel methods. ICML XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
2004	J	`jnl`	Embedded trees: estimation of Gaussian Processes on graphs with cycles. IEEE Trans. Signal Process. Erik B. Sudderth, Martin J. Wainwright, Alan S. Willsky
2004	B	`conf`	LP decoding corrects a constant fraction of errors. ISIT Jon Feldman, Tal Malkin, Rocco A. Servedio, Cliff Stein, Martin J. Wainwright
2004	J	`jnl`	Tree consistency and bounds on the performance of the max-product algorithm and its generalizations. Stat. Comput. Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2003	J	`jnl`	Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Trans. Image Process. Javier Portilla, Vasily Strela, Martin J. Wainwright, Eero P. Simoncelli
2003	—	`conf`	Semidefinite Relaxations for Approximate Inference on Graphs with Cycles. NIPS Martin J. Wainwright, Michael I. Jordan
2003	J	`jnl`	Tree-based reparameterization framework for analysis of sum-product and related algorithms. IEEE Trans. Inf. Theory Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2003	A	`conf`	Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching. AISTATS Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2002	A	`conf`	A New Class of upper Bounds on the Log Partition Function. UAI Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2002	—	`conf`	Exact MAP Estimates by (Hyper)tree Agreement. NIPS Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2002	J	`jnl`	Statistical and Information-Theoretic Methods for Self-Organization and Fusion of Multimodal, Networked Sensors. Int. J. High Perform. Comput. Appl. John W. Fisher III, Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky
2002	—	`—`	Stochastic processes on graphs with cycles: geometric and variational approaches. Martin J. Wainwright
2001	—	`conf`	Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain. ICIP (2) Vasily Strela, Javier Portilla, Martin J. Wainwright, Eero P. Simoncelli
2001	—	`conf`	Tree-based reparameterization for approximate inference on loopy graphs. NIPS Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
2000	B	`conf`	Random Cascades of Gaussian Scale Mixtures and Their Use in Modeling Natural Images With Application to Denoising. ICIP Martin J. Wainwright, Eero P. Simoncelli, Alan S. Willsky
2000	—	`conf`	Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles. NIPS Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky
1999	—	`conf`	Scale Mixtures of Gaussians and the Statistics of Natural Images. NIPS Martin J. Wainwright, Eero P. Simoncelli