Martin J. Wainwright
Identifiers
- name variant Martin J. Wainwright 0.60 · backfill
Papers (103)
- TILT: Target-induced loss tilting under covariate shift cs.LG · 2026 · author #2
- Buying Data of Unknown Quality: Fisher Information Procurement Auctions cs.GT · 2026 · author #2
- Stochastic approximation with cone-contractive operators: Sharp $\ell_\infty$-bounds for $Q$-learning cs.LG · 2019 · author #1
- L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data cs.LG · 2018 · author #3
- Convergence guarantees for a class of non-convex and non-smooth optimization problems stat.ML · 2018 · author #2
- From Gauss to Kolmogorov: Localized Measures of Complexity for Ellipses math.ST · 2018 · author #3
- Breaking the $1/\sqrt{n}$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time stat.ML · 2018 · author #3
- Learning to Explain: An Information-Theoretic Perspective on Model Interpretation cs.LG · 2018 · author #3
- Approximate Ranking from Pairwise Comparisons cs.LG · 2018 · author #4
- The local geometry of testing in ellipses: Tight control via localized Kolmogorov widths math.ST · 2017 · author #2
- Fast MCMC sampling algorithms on polytopes stat.ML · 2017 · author #3
- Online control of the false discovery rate with decaying memory stat.ME · 2017 · author #3
- DAGGER: A sequential algorithm for FDR control on DAGs stat.ME · 2017 · author #3
- Low Permutation-rank Matrices: Structural Properties and Noisy Completion stat.ML · 2017 · author #3
- Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons cs.LG · 2017 · author #4
- Early stopping for kernel boosting algorithms: A general analysis with localized complexities stat.ML · 2017 · author #3
- Kernel Feature Selection via Conditional Covariance Minimization stat.ML · 2017 · author #3
- A framework for Multi-A(rmed)/B(andit) testing with online FDR control stat.ML · 2017 · author #4
- Optimal Rates and Tradeoffs in Multiple Testing math.ST · 2017 · author #4
- Denoising Linear Models with Permuted Data stat.ML · 2017 · author #2
- The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii math.ST · 2017 · author #2
- Convexified Convolutional Neural Networks cs.LG · 2016 · author #3
- Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences stat.ML · 2016 · author #4
- Linear Regression with an Unknown Permutation: Statistical and Computational Limits math.ST · 2016 · author #2
- Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help cs.LG · 2016 · author #4
- Function-Specific Mixing Times and Concentration Away from Equilibrium math.ST · 2016 · author #4
- On kernel methods for covariates that are rankings stat.ML · 2016 · author #3
- Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons cs.LG · 2016 · author #3
- Asymptotic behavior of $\ell_p$-based Laplacian regularization in semi-supervised learning cs.LG · 2016 · author #4
- Simple, Robust and Optimal Ranking from Pairwise Comparisons cs.LG · 2015 · author #2
- Statistical and Computational Guarantees for the Baum-Welch Algorithm stat.ML · 2015 · author #3
- Learning Halfspaces and Neural Networks with Random Initialization cs.LG · 2015 · author #3
- Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues stat.ML · 2015 · author #4
- Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees math.ST · 2015 · author #2
- On the Computational Complexity of High-Dimensional Bayesian Variable Selection math.ST · 2015 · author #2
- Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence math.OC · 2015 · author #2
- Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence cs.LG · 2015 · author #6
- Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators math.ST · 2015 · author #2
- Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds cs.DS · 2015 · author #2
- Randomized sketches for kernels: Fast and optimal non-parametric regression stat.ML · 2015 · author #3
- Support recovery without incoherence: A case for nonconvex regularization math.ST · 2014 · author #2
- Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares math.OC · 2014 · author #2
- Statistical guarantees for the EM algorithm: From population to sample-based analysis math.ST · 2014 · author #2
- Optimality guarantees for distributed statistical estimation cs.IT · 2014 · author #3
- The geometry of kernelized spectral clustering math.ST · 2014 · author #2
- Randomized Sketches of Convex Programs with Sharp Guarantees cs.IT · 2014 · author #2
- Lower bounds on the performance of polynomial-time algorithms for sparse linear regression math.ST · 2014 · author #2
- Optimal rates for zero-order convex optimization: the power of two function evaluations math.OC · 2013 · author #3
- Distance-based and continuum Fano inequalities with applications to statistical estimation cs.IT · 2013 · author #2
- Early stopping and non-parametric regression: An optimal data-dependent stopping rule stat.ML · 2013 · author #2
- Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation math.ST · 2013 · author #3
- Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates math.ST · 2013 · author #3
- Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima math.ST · 2013 · author #2
- Local Privacy, Data Processing Inequalities, and Statistical Minimax Rates math.ST · 2013 · author #3
- Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees cs.IT · 2012 · author #2
- Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses stat.ML · 2012 · author #2
- Discussion: Latent variable graphical model selection via convex optimization math.ST · 2012 · author #1
- Privacy Aware Learning stat.ML · 2012 · author #3
- Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions stat.ML · 2012 · author #3
- Stochastic Belief Propagation: A Low-Complexity Alternative to the Sum-Product Algorithm cs.IT · 2011 · author #2
- High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity math.ST · 2011 · author #2
- Sampled forms of functional PCA in reproducing kernel Hilbert spaces math.ST · 2011 · author #2
- A More Powerful Two-Sample Test in High Dimensions using Random Projection math.ST · 2011 · author #3
- Approximation properties of certain operator-induced norms on Hilbert spaces math.ST · 2011 · author #2
- Fast global convergence of gradient methods for high-dimensional statistical recovery stat.ML · 2011 · author #3
- Randomized Smoothing for Stochastic Optimization math.OC · 2011 · author #3
- Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions stat.ML · 2011 · author #3
- A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers math.ST · 2010 · author #3
- High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression math.ST · 2010 · author #2
- Restricted strong convexity and weighted matrix completion: Optimal bounds with noise cs.IT · 2010 · author #2
- Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization stat.ML · 2010 · author #4
- Minimax-optimal rates for sparse additive models over kernel classes via convex programming math.ST · 2010 · author #2
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling math.ST · 2009 · author #2
- Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls math.ST · 2009 · author #2
- Information-theoretic limits of selecting binary graphical models in high dimensions cs.IT · 2009 · author #2
- High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence stat.ML · 2008 · author #2
- Estimating divergence functionals and the likelihood ratio by convex risk minimization math.ST · 2008 · author #2
- Support union recovery in high-dimensional multivariate regression stat.ML · 2008 · author #2
- Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices math.ST · 2008 · author #2
- High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency stat.ML · 2008 · author #2
- Network-based consensus averaging with general noisy channels cs.IT · 2008 · author #2
- High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression math.ST · 2008 · author #2
- High-dimensional analysis of semidefinite relaxations for sparse principal components math.ST · 2008 · author #2
- Network Coding for Distributed Storage Systems cs.NI · 2008 · author #4
- Geographic Gossip: Efficient Averaging for Sensor Networks cs.IT · 2007 · author #3
- Guessing Facets: Polytope Structure and Improved LP Decoding cs.IT · 2007 · author #3
- Universal Quantile Estimation with Feedback in the Communication-Constrained Setting cs.IT · 2007 · author #2
- Low-density graph codes that are optimal for source/channel coding and binning cs.IT · 2007 · author #1
- Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting math.ST · 2007 · author #1
- Network Coding for Distributed Storage Systems cs.IT · 2007 · author #3
- Probabilistic Analysis of Linear Programming Decoding cs.IT · 2007 · author #4
- On optimal quantization rules for some problems in sequential decentralized detection math.ST · 2006 · author #2
- Guessing Facets: Polytope Structure and Improved LP Decoder cs.IT · 2006 · author #2
- Sharp thresholds for high-dimensional and noisy recovery of sparsity math.ST · 2006 · author #1
- Low-density constructions can achieve the Wyner-Ziv and Gelfand-Pinsker bounds cs.IT · 2006 · author #2
- Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting cs.LG · 2006 · author #1
- Geographic Gossip: Efficient Aggregation for Sensor Networks cs.IT · 2006 · author #3
- Analysis of LDGM and compound codes for lossy compression and binning cs.IT · 2006 · author #2
- Low density codes achieve the rate-distortion bound cs.IT · 2006 · author #2
- On surrogate loss functions and $f$-divergences math.ST · 2005 · author #2
- MAP estimation via agreement on (hyper)trees: Message-passing and linear programming cs.IT · 2005 · author #1
- Lossy source encoding via message-passing and decimation over generalized codewords of LDGM codes cs.IT · 2005 · author #1
- A New Look at Survey Propagation and its Generalizations cs.CC · 2004 · author #3
Mentions
- 1408.2156 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1405.0782 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1404.7552 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1404.7203 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1402.1918 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1312.2139 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1311.2669 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1306.3574 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1305.6000 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1305.5029 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1305.2436 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1302.3203 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1212.3850 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1212.0478 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1211.0808 #1 · backfill · confidence 0.70 Martin J. Wainwright
- 1210.2085 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1207.4421 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1111.1020 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1109.3714 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1109.3336 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1108.2401 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1105.6351 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1104.4824 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1103.4296 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1102.4807 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1010.2731 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 1010.0311 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1009.2118 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 1009.0571 #4 · backfill · confidence 0.70 Martin J. Wainwright
- 1008.3654 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0912.5100 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0910.2042 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0905.2639 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0811.3628 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0809.0853 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0808.0711 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0806.0604 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0805.3005 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0805.0438 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0804.4202 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0803.4026 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0803.0632 #4 · backfill · confidence 0.70 Martin J. Wainwright
- 0709.3921 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 0709.3915 #3 · backfill · confidence 0.70 Martin J. Wainwright
- 0706.0720 #2 · backfill · confidence 0.70 Martin J. Wainwright
- 0704.1818 #1 · backfill · confidence 0.70 Martin J. Wainwright
Frequent Coauthors
- Michael I. Jordan 23 shared papers
- Bin Yu 8 shared papers
- John C. Duchi 8 shared papers
- Yuchen Zhang 8 shared papers
- Aaditya Ramdas 7 shared papers
- Alexandros G. Dimakis 7 shared papers
- Sivaraman Balakrishnan 7 shared papers
- Kannan Ramchandran 6 shared papers
- Nihar B. Shah 6 shared papers
- Pradeep Ravikumar 5 shared papers
- Alekh Agarwal 4 shared papers
- Ashwin Pananjady 4 shared papers
- Emin Martinian 4 shared papers
- Fanny Yang 4 shared papers
- Garvesh Raskutti 4 shared papers
- Jianbo Chen 4 shared papers
- Mert Pilanci 4 shared papers
- Po-Ling Loh 4 shared papers
- Yuting Wei 4 shared papers
- Arash A. Amini 3 shared papers