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ORCIDMatthew Shunshi Zhang
Person information
- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[c8]Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li:
Sampling from the Mean-Field Stationary Distribution. COLT 2024: 3099-3136- [c7]Yunbum Kook, Santosh S. Vempala, Matthew Shunshi Zhang:
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies. NeurIPS 2024 - [i5]Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li:
Sampling from the Mean-Field Stationary Distribution. CoRR abs/2402.07355 (2024) - [i4]Yunbum Kook, Santosh S. Vempala, Matthew Shunshi Zhang:
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies. CoRR abs/2405.01425 (2024) - 2023
- [c6]Matthew Shunshi Zhang, Sinho Chewi, Mufan (Bill) Li, Krishna Balasubramanian, Murat A. Erdogdu:
Improved Discretization Analysis for Underdamped Langevin Monte Carlo. COLT 2023: 36-71 - 2022
- [c5]Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg
:
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. AAAI 2022: 9066-9073 - [c4]Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang:
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence. AISTATS 2022: 8151-8175 - [c3]Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li, Ruoqi Shen, Shunshi Zhang:
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev. COLT 2022: 1-2 - [c2]Krishna Balasubramanian, Sinho Chewi, Murat A. Erdogdu, Adil Salim, Shunshi Zhang:
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo. COLT 2022: 2896-2923 - 2021
- [i3]Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg:
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. CoRR abs/2111.00185 (2021) - 2020
- [c1]Matthew Shunshi Zhang, Bradly C. Stadie:
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. ICLR 2020
2010 – 2019
- 2019
- [i2]Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric D. Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba:
Benchmarking Model-Based Reinforcement Learning. CoRR abs/1907.02057 (2019) - [i1]Matthew Shunshi Zhang, Bradly C. Stadie:
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation. CoRR abs/1912.00120 (2019)
Coauthor Index
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