28 citations · 137 across the 15 of their papers we have counts for
17 papers
On the best approximation by finite Gaussian mixtures
Yun Ma, Yihong Wu, Pengkun Yang
We consider the problem of approximating a general Gaussian location mixture by finite mixtures. The minimum order of finite mixtures that achieve a prescribed accuracy (measured b…
Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics
Yuchao Chen, Haoyue Tang, Jintao Wang +2
In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process through a channel for remote estimation. The goal is to minimize the mean square error (MSE) at the estimator…
Fast and Multiphase Rates for Nearest Neighbor Classifiers
Pengkun Yang, Jingzhao Zhang
We study the scaling of classification error rates with respect to the size of the training dataset. In contrast to classical results where rates are minimax optimal for a problem…
Federated Learning in the Presence of Adversarial Client Unavailability
Lili Su, Ming Xiang, Jiaming Xu +1
Federated learning is a decentralized machine learning framework that enables collaborative model training without revealing raw data. Due to the diverse hardware and software limi…
Global Convergence of Federated Learning for Mixed Regression
Lili Su, Jiaming Xu, Pengkun Yang
This paper studies the problem of model training under Federated Learning when clients exhibit cluster structure. We contextualize this problem in mixed regression, where each clie…
Deep Active Learning with Noise Stability
Xingjian Li, Pengkun Yang, Yangcheng Gu +4
Uncertainty estimation for unlabeled data is crucial to active learning. With a deep neural network employed as the backbone model, the data selection process is highly challenging…