Matthew Shunshi Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Policy Gradient

Recurrent Neural Networks

Top Venues

Publications

Yunbum Kook, Santosh S. Vempala, Matthew Shunshi Zhang
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies. CoRR (2024)
Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li
Sampling from the Mean-Field Stationary Distribution. CoRR (2024)
Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li
Sampling from the Mean-Field Stationary Distribution. COLT (2024)
Matthew Shunshi Zhang, Sinho Chewi, Mufan (Bill) Li, Krishna Balasubramanian, Murat A. Erdogdu
Improved Discretization Analysis for Underdamped Langevin Monte Carlo. COLT (2023)
Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. AAAI (2022)
Matthew Shunshi Zhang, Murat Erdogdu, Animesh Garg
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. CoRR (2021)
Matthew Shunshi Zhang, Bradly C. Stadie
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. ICLR (2020)
Matthew Shunshi Zhang, Bradly C. Stadie
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. CoRR (2019)