Matthew Shunshi Zhang

According to our database, Matthew Shunshi Zhang authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Sampling from the Mean-Field Stationary Distribution.

Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li

CoRR, 2024

2023

Improved Discretization Analysis for Underdamped Langevin Monte Carlo.

Matthew Shunshi Zhang, Sinho Chewi, Mufan (Bill) Li, Krishna Balasubramanian, Murat A. Erdogdu

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev.

Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li, Ruoqi Shen, Shunshi Zhang

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo.

Krishna Balasubramanian, Sinho Chewi, Murat A. Erdogdu, Adil Salim, Shunshi Zhang

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence.

Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings.

Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation.

Matthew Shunshi Zhang, Bradly C. Stadie

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Benchmarking Model-Based Reinforcement Learning.

Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric D. Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba

CoRR, 2019