Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families

8 June 2015

Dino Sejdinovic

Papers citing "Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families"

21 / 21 papers shown

Title
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 54 2 0 02 Oct 2023
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
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 32 10 0 28 Oct 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 29 74 0 15 Apr 2021
Denoising Score Matching with Random Fourier Features Olga Tsymboi Yermek Kapushev Evgeny Burnaev Ivan Oseledets 39 1 0 13 Jan 2021
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 31 53 0 07 Jul 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 35 23 0 20 May 2020
Kernelized Wasserstein Natural Gradient Michael Arbel Arthur Gretton Wuchen Li Guido Montúfar 26 22 0 21 Oct 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 32 14 0 27 May 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 34 400 0 17 May 2019
Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success R. Scalzo D. Kohn H. Olierook G. Houseman Rohitash Chandra Mark Girolami Sally Cripps 23 32 0 02 Dec 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 24 90 0 07 Jun 2018
Stein Variational Gradient Descent Without Gradient J. Han Qiang Liu 22 45 0 07 Jun 2018
Modified Hamiltonian Monte Carlo for Bayesian inference Tijana Radivojević E. Akhmatskaya 28 31 0 13 Jun 2017
Hamiltonian Monte Carlo Methods for Subset Simulation in Reliability Analysis Ziqi Wang M. Broccardo Junho Song 19 116 0 05 Jun 2017
Gradient Estimators for Implicit Models Yingzhen Li Richard Turner 35 104 0 19 May 2017
Pseudo-Marginal Hamiltonian Monte Carlo Johan Alenlöv Arnaud Doucet Fredrik Lindsten 36 22 0 08 Jul 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 112 325 0 09 Feb 2016
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 31 128 0 06 Jun 2015
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model M. Moores Geoff K. Nicholls A. Pettitt Kerrie Mengersen TPM 42 22 0 27 Mar 2015
MCMC using Hamiltonian dynamics Radford M. Neal 189 3,268 0 09 Jun 2012