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2020 – today
- 2026
[c2]Jason M. Altschuler, Sinho Chewi, Matthew S. Zhang:
Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling. STOC 2026: 1739-1750- [i8]Matthew S. Zhang, Jason M. Altschuler, Sinho Chewi:
Algorithmic warm starts for Hamiltonian Monte Carlo. CoRR abs/2603.22741 (2026) - 2025
- [c1]Yunbum Kook, Matthew S. Zhang:
Rényi-infinity constrained sampling with d3 membership queries. SODA 2025: 5278-5306 - [i7]Jason M. Altschuler, Sinho Chewi, Matthew S. Zhang:
Shifted Composition IV: Underdamped Langevin and Numerical Discretizations with Partial Acceleration. CoRR abs/2506.23062 (2025) - [i6]Matthew S. Zhang:
Analysis of Langevin midpoint methods using an anticipative Girsanov theorem. CoRR abs/2507.12791 (2025) - [i5]Bobby Shi, Kevin Tian, Matthew S. Zhang:
Perspectives on Stochastic Localization. CoRR abs/2510.04460 (2025) - [i4]Sinho Chewi, Aram-Alexandre Pooladian, Matthew S. Zhang:
Stability of the Kim-Milman flow map. CoRR abs/2511.01154 (2025) - [i3]Matthew S. Zhang, Stephen Huan
, Jerry Huang, Nicholas M. Boffi, Sitan Chen, Sinho Chewi:
Sublinear iterations can suffice even for DDPMs. CoRR abs/2511.04844 (2025) - 2024
- [i2]Yunbum Kook, Matthew S. Zhang:
Rényi-infinity constrained sampling with d3 membership queries. CoRR abs/2407.12967 (2024) - [i1]Yunbum Kook, Matthew S. Zhang:
Covariance estimation using Markov chain Monte Carlo. CoRR abs/2410.17147 (2024)
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