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Martin Wainwright

18 papers · 2013–2023 · 4 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (15) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (4) πŸ—ƒοΈ Keyword Collector (101) πŸ“ˆ Trend Setter πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (6)

Conferences

ICML (7) AISTATS (6) COLT (3) JMLR (2)

Top co-authors

Michael Jordan (5) Yuchen Zhang (4) Koulik Khamaru (3) Nihar Shah (2) Peter Bartlett (2) Wenlong Mou (2) Sivaraman Balakrishnan (2) Bin Yu (2) Kannan Ramchandran (2) John Duchi (2)

Research topics

Statistics (3)

Keywords

convergence rate (4) pairwise comparison (3) policy evaluation (2) divide and conquer (2) bradley-terry-luce model (2) feature selection (2) kernel ridge regression (2) distributed learning (2) model selection (1) transfer learning (1) learning theory (1) ensemble learning (1) statistical learning theory (1) policy optimization (1) non-convex optimization (1) temporal difference learning (1) quality estimation (1) online learning (1) markov decision process (1) communication complexity (1)

Papers

Revisiting minimum description length complexity in overparameterized models JMLR 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023
A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm COLT 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models AISTATS 2020
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018
Approximate Ranking from Pairwise Comparisons AISTATS 2018
Convergence guarantees for a class of non-convex and non-smooth optimization problems ICML 2018
On the Learnability of Fully-Connected Neural Networks AISTATS 2017
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues ICML 2016
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds ICML 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015
Divide and Conquer Kernel Ridge Regression COLT 2013