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04/21/2023
The Isotonic Mechanism for Exponential Family Estimation
In 2023, the International Conference on Machine Learning (ICML) require...
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04/14/2023
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
This paper studies reward-agnostic exploration in reinforcement learning...
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01/04/2023
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
Gaussian mixture models form a flexible and expressive parametric family...
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06/08/2022
Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games
This paper makes progress towards learning Nash equilibria in two-player...
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03/14/2022
The Efficacy of Pessimism in Asynchronous Q-Learning
This paper is concerned with the asynchronous form of Q-learning, which ...
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07/26/2021
Inference for Heteroskedastic PCA with Missing Data
This paper studies how to construct confidence regions for principal com...
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05/28/2021
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
The curse of dimensionality is a widely known issue in reinforcement lea...
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08/04/2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution
We investigate the effectiveness of convex relaxation and nonconvex opti...
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03/22/2020
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
This paper considers a canonical clustering problem where one receives u...
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01/15/2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
This paper delivers improved theoretical guarantees for the convex progr...
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06/10/2019
Inference and Uncertainty Quantification for Noisy Matrix Completion
Noisy matrix completion aims at estimating a low-rank matrix given only ...
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02/20/2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
This paper studies noisy low-rank matrix completion: given partial and c...
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08/31/2018
Asymptotic Seed Bias in Respondent-driven Sampling
Respondent-driven sampling (RDS) collects a sample of individuals in a n...
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04/09/2017