Matthew Shunshi Zhang

Affiliations:
  • University of Toronto, Canada


According to our database1, Matthew Shunshi Zhang authored at least 10 papers between 2019 and 2024.

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Bibliography

2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies.
CoRR, 2024

Sampling from the Mean-Field Stationary Distribution.
CoRR, 2024

Sampling from the Mean-Field Stationary Distribution.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev.
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.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Benchmarking Model-Based Reinforcement Learning.
CoRR, 2019


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