8 citations · 18 across the 9 of their papers we have counts for
10 papers
Multi-tier Differential Private Query Release
Shaowei Wang, Jinn Li, Yun Peng +5
Answering statistical queries over sensitive data under differential privacy (DP) is a common task in many settings, including databases, mobile computing, and data markets. In the…
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
Puning Zhao, Fei Yu, Zhiguo Wan
Federated learning systems are susceptible to adversarial attacks. To combat this, we introduce a novel aggregator based on Huber loss minimization, and provide a comprehensive the…
Minimax Optimal Q Learning with Nearest Neighbors
Puning Zhao, Lifeng Lai
Analyzing the Markov decision process (MDP) with continuous state spaces is generally challenging. A recent interesting work \cite{shah2018q} solves MDP with bounded continuous sta…
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
Wenyu Liu, Tianqiang Huang, Pengfei Zhang +3
Adversarial attacks pose a major challenge to distributed learning systems, prompting the development of numerous robust learning methods. However, most existing approaches suffer…
Robust Nonparametric Regression under Poisoning Attack
Puning Zhao, Zhiguo Wan
This paper studies robust nonparametric regression, in which an adversarial attacker can modify the values of up to samples from a training dataset of size . Our initial sol…
Optimal Stochastic Nonconvex Optimization with Bandit Feedback
Puning Zhao, Lifeng Lai
In this paper, we analyze the continuous armed bandit problems for nonconvex cost functions under certain smoothness and sublevel set assumptions. We first derive an upper bound on…
Analysis of KNN Density Estimation
Puning Zhao, Lifeng Lai
We analyze the and convergence rates of k nearest neighbor density estimation method. Our analysis includes two different cases depending on whether the supp…
Minimax Optimal Estimation of KL Divergence for Continuous Distributions
Puning Zhao, Lifeng Lai
Estimating Kullback-Leibler divergence from identical and independently distributed samples is an important problem in various domains. One simple and effective estimator is based…
Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression
Puning Zhao, Lifeng Lai
k Nearest Neighbor (kNN) method is a simple and popular statistical method for classification and regression. For both classification and regression problems, existing works have s…
Analysis of KNN Information Estimators for Smooth Distributions
Puning Zhao, Lifeng Lai
KSG mutual information estimator, which is based on the distances of each sample to its k-th nearest neighbor, is widely used to estimate mutual information between two continuous…