Shaocong Ma - RankMe

26 papers A* 6A 1B 1C 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds. CoRR Shaocong Ma, Heng Huang
2025	—	`conf`	DRF: LLM-AGENT Dynamic Reputation Filtering Framework. ICONIP (4) Yuwei Lou, Hao Hu, Shaocong Ma, Zongfei Zhang, Liang Wang, Jidong Ge, XianPing Tao
2025	J	`jnl`	DRF: LLM-AGENT Dynamic Reputation Filtering Framework. CoRR Yuwei Lou, Hao Hu, Shaocong Ma, Zongfei Zhang, Liang Wang, Jidong Ge, XianPing Tao
2025	J	`jnl`	Deep learning of PDE correction and mesh adaption without automatic differentiation. Mach. Learn. Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou
2025	J	`jnl`	On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization. CoRR Shaocong Ma, Heng Huang
2025	J	`jnl`	Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. CoRR Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang
2025	J	`jnl`	Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. Trans. Mach. Learn. Res. Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang
2025	A*	`conf`	Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations. ICLR Shaocong Ma, Heng Huang
2025	J	`jnl`	Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations. CoRR Shaocong Ma, Heng Huang
2025	J	`jnl`	Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets. CoRR Shaocong Ma, Heng Huang
2025	C	`conf`	Time-Critical Cooperative Delivery with Unknown Demands. CSCWD Shaobin Chen, Shaocong Ma, Liang Wang, XianPing Tao, Hao Hu
2024	J	`jnl`	End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver. CoRR Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou
2024	J	`jnl`	Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning. Found. Trends Optim. Yi Zhou, Shaocong Ma
2023	J	`jnl`	Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty. J. Mach. Learn. Res. Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou
2022	B	`conf`	Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning. ISIT Ziyi Chen, Shaocong Ma, Yi Zhou
2022	J	`jnl`	Data Sampling Affects the Complexity of Online SGD over Dependent Data. CoRR Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
2022	A	`conf`	Data sampling affects the complexity of online SGD over dependent data. UAI Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
2022	A*	`conf`	Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach. NeurIPS Ziyi Chen, Shaocong Ma, Yi Zhou
2022	A*	`conf`	Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game. ICLR Ziyi Chen, Shaocong Ma, Yi Zhou
2021	J	`jnl`	Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning. CoRR Ziyi Chen, Shaocong Ma, Yi Zhou
2021	A*	`conf`	Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. ICLR Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
2021	J	`jnl`	Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. CoRR Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
2020	A*	`conf`	Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle. ICML Shaocong Ma, Yi Zhou
2020	J	`jnl`	Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle. CoRR Shaocong Ma, Yi Zhou
2020	A*	`conf`	Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. NeurIPS Shaocong Ma, Yi Zhou, Shaofeng Zou
2020	J	`jnl`	Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. CoRR Shaocong Ma, Yi Zhou, Shaofeng Zou