Yi Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Convex Optimization

Asymptotic Analysis

Top Venues

Publications

Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver. CoRR (2024)
Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. CoRR (2024)
Ziyi Chen, Yi Zhou, Heng Huang
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning. ICLR (2024)
Chedi Morchdi, Cheng-Hsiang Chiu, Yi Zhou, Tsung-Wei Huang
A Resource-efficient Task Scheduling System using Reinforcement Learning : Invited Paper. ASPDAC (2024)
Yue Wang, Yi Zhou, Shaofeng Zou
Finite-time error bounds for Greedy-GQ. Mach. Learn. 113 (9) (2024)
Ziwei Guan, Yi Zhou, Yingbin Liang
On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback. ICLR (2024)
Youjia Zhou, Yi Zhou, Jie Ding, Bei Wang
Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training. TAG-ML (2023)
Joohyun Cho, Mingxi Liu, Yi Zhou, Rong-Rong Chen
Multi-Agent Recurrent Deterministic Policy Gradient with Inter-Agent Communication. ACSSC (2023)
Ziwei Guan, Yi Zhou, Yingbin Liang
Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback. COLT (2023)
Chedi Morchdi, Yi Zhou, Jie Ding, Bei Wang
Exploring Gradient Oscillation in Deep Neural Network Training. Allerton (2023)
Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization. ICML (2023)
Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
A new one-point residual-feedback oracle for black-box learning and control. Autom. 136 (2022)
Ziyi Chen, Yi Zhou, Rong-Rong Chen
Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexities. Trans. Mach. Learn. Res. 2022 (2022)
Ziyi Chen, Shaocong Ma, Yi Zhou
Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning. ISIT (2022)
Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
Data Sampling Affects the Complexity of Online SGD over Dependent Data. CoRR (2022)
Ziyi Chen, Bhavya Kailkhura, Yi Zhou
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization. CoRR (2022)
Ziyi Chen, Shaocong Ma, Yi Zhou
Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach. NeurIPS (2022)
Ziyi Chen, Shaocong Ma, Yi Zhou
Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game. ICLR (2022)
Yi Zhou, Yingbin Liang, Huishuai Zhang
Understanding generalization error of SGD in nonconvex optimization. Mach. Learn. 111 (1) (2022)
Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
Data sampling affects the complexity of online SGD over dependent data. UAI (2022)
Cheng Chen, Bhavya Kailkhura, Ryan A. Goldhahn, Yi Zhou
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing. CoRR (2021)
Kaiyi Ji, Yi Zhou, Yingbin Liang
Understanding Estimation and Generalization Error of Generative Adversarial Networks. IEEE Trans. Inf. Theory 67 (5) (2021)
Cheng Chen, Bhavya Kailkhura, Ryan A. Goldhahn, Yi Zhou
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing. MASS (2021)
Cheng Chen, Junjie Yang, Yi Zhou
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study. IEEE BigData (2020)
Cat P. Le, Yi Zhou, Jie Ding, Vahid Tarokh
Supervised Encoding for Discrete Representation Learning. ICASSP (2020)
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. IJCAI (2020)
Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling. IEEE BigData (2020)
Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh
Perception-Distortion Trade-Off with Restricted Boltzmann Machines. ICASSP (2020)
Cat P. Le, Yi Zhou, Jie Ding, Vahid Tarokh
Supervised Encoding for Discrete Representation Learning. CoRR (2019)
Yi Zhou, Yingbin Liang, Lixin Shen
A simple convergence analysis of Bregman proximal gradient algorithm. Comput. Optim. Appl. 73 (3) (2019)
Yi Feng, Yi Zhou, Vahid Tarokh
Recurrent Neural Network-Assisted Adaptive Sampling for Approximate Computing. IEEE BigData (2019)