Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators

13 October 2022

Papers citing "Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators"

10 / 10 papers shown

Title
Tukey Depth Mechanisms for Practical Private Mean Estimation Gavin Brown Lydia Zakynthinou 41 0 0 25 Feb 2025
Rényi-infinity constrained sampling with $d^3$ membership queries Yunbum Kook Matthew Shunshi Zhang 24 1 0 17 Jul 2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook Santosh Vempala Matthew Shunshi Zhang 25 7 0 02 May 2024
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm Vishwak Srinivasan Andre Wibisono Ashia C. Wilson 30 7 0 14 Dec 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu T. Pock 39 4 0 25 May 2023
Sampling with Barriers: Faster Mixing via Lewis Weights Khashayar Gatmiry Jonathan A. Kelner Santosh Vempala 19 6 0 01 Mar 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler Sivakanth Gopi Y. Lee Daogao Liu Ruoqi Shen Kevin Tian 17 7 0 13 Feb 2023
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo Maxence Noble Valentin De Bortoli Alain Durmus 21 6 0 21 Oct 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space Yunbum Kook Y. Lee Ruoqi Shen Santosh Vempala 11 38 0 03 Feb 2022
The Mirror Langevin Algorithm Converges with Vanishing Bias Ruilin Li Molei Tao Santosh Vempala Andre Wibisono 41 35 0 24 Sep 2021