Shaocong Ma

According to our database, Shaocong Ma authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep learning of PDE correction and mesh adaption without automatic differentiation.

Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou

Mach. Learn., March, 2025

Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality.

Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang

Trans. Mach. Learn. Res., 2025

Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations.

Shaocong Ma, Heng Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Time-Critical Cooperative Delivery with Unknown Demands.

Shaobin Chen, Shaocong Ma, Liang Wang, Xianping Tao, Hao Hu

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024

Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning.

Yi Zhou, Shaocong Ma

Found. Trends Optim., 2024

End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver.

Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou

CoRR, 2024

2023

Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty.

Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou

J. Mach. Learn. Res., 2023

2022

Data sampling affects the complexity of online SGD over dependent data.

Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach.

Ziyi Chen, Shaocong Ma, Yi Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning.

Ziyi Chen, Shaocong Ma, Yi Zhou

Proceedings of the IEEE International Symposium on Information Theory, 2022

Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game.

Ziyi Chen, Shaocong Ma, Yi Zhou

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity.

Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis.

Shaocong Ma, Yi Zhou, Shaofeng Zou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle.

Shaocong Ma, Yi Zhou

Proceedings of the 37th International Conference on Machine Learning, 2020