Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo

24 February 2018

Papers citing "Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo"

12 / 12 papers shown

Title
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation David Holzmüller Francis R. Bach 36 8 0 06 Mar 2023
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 21 1 0 21 Oct 2022
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps Simon Apers S. Gribling Dániel Szilágyi 39 10 0 26 Sep 2022
Nesterov smoothing for sampling without smoothness JiaoJiao Fan Bo Yuan Jiaming Liang Yongxin Chen 37 2 0 15 Aug 2022
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time Jun-Kun Wang Andre Wibisono 30 9 0 05 Jul 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo L. Riou-Durand Jure Vogrinc 21 15 0 26 Feb 2022
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions Y. Lee Ruoqi Shen Kevin Tian 19 20 0 10 Jun 2021
Complexity of zigzag sampling algorithm for strongly log-concave distributions Jianfeng Lu Lihan Wang 18 6 0 21 Dec 2020
Langevin Monte Carlo without smoothness Niladri S. Chatterji Jelena Diakonikolas Michael I. Jordan Peter L. Bartlett BDL 13 43 0 30 May 2019
Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions Zongchen Chen Santosh Vempala 11 64 0 07 May 2019
Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities? Oren Mangoubi Natesh S. Pillai Aaron Smith 24 31 0 09 Aug 2018
Coupling and Convergence for Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle Raphael Zimmer 79 136 0 01 May 2018