610 citations · 2k across the 74 of their papers we have counts for
7 papers · 1 filter
Local Minima Structures in Gaussian Mixture Models
Yudong Chen, Dogyoon Song, Xumei Xi +1
We investigate the landscape of the negative log-likelihood function of Gaussian Mixture Models (GMMs) with a general number of components in the population limit. As the objective…
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle
Lijun Ding, Yuqian Zhang, Yudong Chen
Existing results for low-rank matrix recovery largely focus on quadratic loss, which enjoys favorable properties such as restricted strong convexity/smoothness (RSC/RSM) and well c…
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
Yingjie Fei, Zhuoran Yang, Yudong Chen +2
We study risk-sensitive reinforcement learning in episodic Markov decision processes with unknown transition kernels, where the goal is to optimize the total reward under the risk…
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu, Xiaolin Huang, Yudong Chen +1
Random features is one of the most popular techniques to speed up kernel methods in large-scale problems. Related works have been recognized by the NeurIPS Test-of-Time award in 20…
High-dimensional, multiscale online changepoint detection
Yudong Chen, Tengyao Wang, Richard J. Samworth
We introduce a new method for high-dimensional, online changepoint detection in settings where a -variate Gaussian data stream may undergo a change in mean. The procedure works…
Structures of Spurious Local Minima in -means
Wei Qian, Yuqian Zhang, Yudong Chen
-means clustering is a fundamental problem in unsupervised learning. The problem concerns finding a partition of the data points into clusters such that the within-cluster v…