21 citations · 22 across the 3 of their papers we have counts for
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cs.LG2022★ 1 cited
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen, Chris Junchi Li, Angela Yuan +2
With the increasing need for handling large state and action spaces, general function approximation has become a key technique in reinforcement learning (RL). In this paper, we pro…
cs.LG2020
Stochastic Approximation for Online Tensorial Independent Component Analysis
Chris Junchi Li, Michael I. Jordan
Independent component analysis (ICA) has been a popular dimension reduction tool in statistical machine learning and signal processing. In this paper, we present a convergence anal…
cs.LG2018
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Haishan Ye, Zhichao Huang, Cong Fang +2
Zeroth-order optimization is an important research topic in machine learning. In recent years, it has become a key tool in black-box adversarial attack to neural network based imag…