Publications
You can also find my articles on my Google Scholar profile.
- Deep learning of PDE Correction and Mesh Adaption without Automatic Differentiation
Machine Learning, 2025.
Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, and Yi Zhou. - Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
ICLR, 2025. ★ Spotlight
Shaocong Ma, Heng Huang. - Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning
Foundations and Trends® in Optimization, 2024.
Yi Zhou, Shaocong Ma. - Decentralized Robust V-Learning for Solving Markov Games with Model Uncertainty
JMLR, 2023.
Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou. - End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
NeurIPS, 2023 (ML4PS Workshop).
Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, and Yi Zhou. - Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach
NeurIPS, 2022.
Ziyi Chen, Shaocong Ma, Yi Zhou. - Data Sampling Affects the Complexity of Online SGD over Dependent Data
UAI, 2022.
Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang. - Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning
IEEE ISIT, 2022.
Ziyi Chen, Shaocong Ma, Yi Zhou. - Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game
ICLR, 2022.
Ziyi Chen, Shaocong Ma, Yi Zhou. - Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
ICLR, 2021.
Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou. - Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
NeurIPS, 2020.
Shaocong Ma, Yi Zhou, Shaofeng Zou. - Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
ICML, 2020.
Shaocong Ma, Yi Zhou.