Matthew S. Zhang

According to our database, Matthew S. Zhang authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Algorithmic warm starts for Hamiltonian Monte Carlo.

Matthew S. Zhang, Jason M. Altschuler, Sinho Chewi

CoRR, March, 2026

Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling.

Jason M. Altschuler, Sinho Chewi, Matthew S. Zhang

Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

2025

Sublinear iterations can suffice even for DDPMs.

Matthew S. Zhang, Stephen Huan, Jerry Huang, Nicholas M. Boffi, Sitan Chen, Sinho Chewi

CoRR, November, 2025

Stability of the Kim-Milman flow map.

Sinho Chewi, Aram-Alexandre Pooladian, Matthew S. Zhang

CoRR, November, 2025

Perspectives on Stochastic Localization.

Bobby Shi, Kevin Tian, Matthew S. Zhang

CoRR, October, 2025

Analysis of Langevin midpoint methods using an anticipative Girsanov theorem.

Matthew S. Zhang

CoRR, July, 2025

Shifted Composition IV: Underdamped Langevin and Numerical Discretizations with Partial Acceleration.

Jason M. Altschuler, Sinho Chewi, Matthew S. Zhang

CoRR, June, 2025

Rényi-infinity constrained sampling with <i>d</i>³ membership queries.

Yunbum Kook, Matthew S. Zhang

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

2024

Covariance estimation using Markov chain Monte Carlo.

Yunbum Kook, Matthew S. Zhang

CoRR, 2024

Rényi-infinity constrained sampling with d³ membership queries.

Yunbum Kook, Matthew S. Zhang

CoRR, 2024