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08/24/2023
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
Federated learning systems are susceptible to adversarial attacks. To co...
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08/03/2023
Minimax Optimal Q Learning with Nearest Neighbors
Q learning is a popular model free reinforcement learning method. Most o...
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07/25/2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
Robust distributed learning with Byzantine failures has attracted extens...
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05/26/2023
Robust Nonparametric Regression under Poisoning Attack
This paper studies robust nonparametric regression, in which an adversar...
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03/30/2021
Optimal Stochastic Nonconvex Optimization with Bandit Feedback
In this paper, we analyze the continuous armed bandit problems for nonco...
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09/30/2020
Analysis of KNN Density Estimation
We analyze the ℓ_1 and ℓ_∞ convergence rates of k nearest neighbor densi...
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02/26/2020
Minimax Optimal Estimation of KL Divergence for Continuous Distributions
Estimating Kullback-Leibler divergence from identical and independently ...
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10/22/2019
Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression
k Nearest Neighbor (kNN) method is a simple and popular statistical meth...
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10/27/2018
