Ma, Shaocong

14 publications

ICLR 2026 New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework Shaocong Ma, Peiran Yu, Heng Huang

ICLR 2026 Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds Shaocong Ma, Heng Huang

MLJ 2025 Deep Learning of PDE Correction and Mesh Adaption Without Automatic Differentiation Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou

NeurIPS 2025 On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization Shaocong Ma, Heng Huang

TMLR 2025 Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning Without Strong Duality Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang

ICLR 2025 Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations Shaocong Ma, Heng Huang

NeurIPS 2025 Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets Shaocong Ma, Heng Huang

JMLR 2023 Decentralized Robust V-Learning for Solving Markov Games with Model Uncertainty Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou

UAI 2022 Data Sampling Affects the Complexity of Online SGD over Dependent Data Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang

NeurIPS 2022 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach Ziyi Chen, Shaocong Ma, Yi Zhou

ICLR 2022 Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game Ziyi Chen, Shaocong Ma, Yi Zhou

ICLR 2021 Greedy-GQ with Variance Reduction: Finite-Time Analysis and Improved Complexity Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou

ICML 2020 Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle Shaocong Ma, Yi Zhou

NeurIPS 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis Shaocong Ma, Yi Zhou, Shaofeng Zou