Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo

14 October 2019

Papers citing "Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo"

20 / 20 papers shown

Title
SMC Is All You Need: Parallel Strong Scaling Xin Liang J. Lukens Sanjaya Lohani Brian T. Kirby T. Searles Kody J. H. Law 28 2 0 09 Feb 2024
Direct Amortized Likelihood Ratio Estimation Adam D. Cobb Brian Matejek Daniel Elenius Anirban Roy Susmit Jha 18 2 0 17 Nov 2023
Hessian-informed Hamiltonian Monte Carlo for high-dimensional problems M. Karimi K. Dayal M. Pozzi 16 2 0 28 Mar 2023
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo Maxence Noble Valentin De Bortoli Alain Durmus 23 6 0 21 Oct 2022
Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators Yunbum Kook Y. Lee Ruoqi Shen Santosh Vempala 43 12 0 13 Oct 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 38 25 0 20 Mar 2022
Several Remarks on the Numerical Integrator in Lagrangian Monte Carlo James A. Brofos Roy R. Lederman 18 0 0 28 Feb 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space Yunbum Kook Y. Lee Ruoqi Shen Santosh Vempala 19 38 0 03 Feb 2022
Lagrangian Manifold Monte Carlo on Monge Patches M. Hartmann Mark Girolami Arto Klami 18 10 0 01 Feb 2022
Exponential Family Model-Based Reinforcement Learning via Score Matching Gen Li Junbo Li Anmol Kabra Nathan Srebro Zhaoran Wang Zhuoran Yang 37 4 0 28 Dec 2021
On Numerical Considerations for Riemannian Manifold Hamiltonian Monte Carlo James A. Brofos Roy R. Lederman 21 8 0 19 Nov 2021
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo W. Mongwe R. Mbuvha T. Marwala 18 6 0 05 Jul 2021
Semi-Empirical Objective Functions for MCMC Proposal Optimization Chris Cannella Vahid Tarokh 31 1 0 03 Jun 2021
Riemannian Langevin Algorithm for Solving Semidefinite Programs Mufan Li Murat A. Erdogdu 13 29 0 21 Oct 2020
Non-Canonical Hamiltonian Monte Carlo James A. Brofos Roy R. Lederman 24 6 0 18 Aug 2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks Meet P. Vadera Adam D. Cobb B. Jalaeian Benjamin M. Marlin BDL UQCV 27 16 0 08 Jul 2020
Tractable Approximate Gaussian Inference for Bayesian Neural Networks J. Goulet L. Nguyen Saeid Amiri BDL 16 18 0 20 Apr 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 24 642 0 20 Feb 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations Sebastian Farquhar Lewis Smith Y. Gal UQCV BDL 9 5 0 10 Feb 2020
MCMC using Hamiltonian dynamics Radford M. Neal 189 3,268 0 09 Jun 2012