242 citations · 1.2k across the 37 of their papers we have counts for
37 papers
A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences
Han Shen, Tianyi Chen
Stochastic approximation (SA) with multiple coupled sequences has found broad applications in machine learning such as bilevel learning and reinforcement learning (RL). In this pap…
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules
Zhaoxian Wu, Tianyi Chen, Qing Ling
This paper focuses on decentralized stochastic optimization in the presence of Byzantine attacks. During the optimization process, an unknown number of malfunctioning or malicious…
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng, Tianyi Chen, Alfredo Garcia +1
Multi-agent reinforcement learning (MARL) has attracted much research attention recently. However, unlike its single-agent counterpart, many theoretical and algorithmic aspects of…
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Tianyi Chen, Bo Ji, Tianyu Ding +7
Structured pruning is a commonly used technique in deploying deep neural networks (DNNs) onto resource-constrained devices. However, the existing pruning methods are usually heuris…
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
Tianyi Chen, Yuejiao Sun, Wotao Yin
Stochastic nested optimization, including stochastic compositional, min-max and bilevel optimization, is gaining popularity in many machine learning applications. While the three p…
Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach
Tianyi Chen, Meng Wang, Siyuan Gong +2
In this study, we propose a rotation-based connected automated vehicle (CAV) distributed cooperative control strategy for an on-ramp merging scenario. By assuming the mainline and…