Martin Wainwright
18 papers · 2013–2023 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Keyword Champion
(2)
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Trend Setter
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
(105)
Venues
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory · Machine Learning
(14)
Mathematics & Optimization
(10)
Optimization
(8)
Learning Types
(6)
Core Methods
(5)
Deep Learning
(3)
Reinforcement Learning
(3)
Mathematics
(3)
Methods
(3)
Optimization & Theory · Deep Learning
(3)
Statistics
(3)
Artificial Intelligence
(1)
Application Areas
(1)
Applications
(1)
Keywords
convergence rate
(4)
pairwise comparison
(3)
policy evaluation
(2)
feature selection
(2)
distributed learning
(2)
kernel ridge regression
(2)
divide and conquer
(2)
bradley-terry-luce model
(2)
ensemble learning
(1)
policy optimization
(1)
temporal difference learning
(1)
transfer learning
(1)
learning theory
(1)
convex optimization
(1)
non-convex optimization
(1)
online learning
(1)
stochastic gradient descent
(1)
communication complexity
(1)
ridge regression
(1)
false discovery rate
(1)
Papers
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces
AISTATS 2023
Revisiting minimum description length complexity in overparameterized models
JMLR 2023
A new similarity measure for covariate shift with applications to nonparametric regression
ICML 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
COLT 2022
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
COLT 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
ICML 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
Approximate Ranking from Pairwise Comparisons
AISTATS 2018
Convergence guarantees for a class of non-convex and non-smooth optimization problems
ICML 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
ICML 2018
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
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
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
JMLR 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence
AISTATS 2015
Divide and Conquer Kernel Ridge Regression
COLT 2013