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Kernel Adaptive Metropolis-Hastings

19 July 2013

Dino Sejdinovic

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Papers citing "Kernel Adaptive Metropolis-Hastings"

29 / 29 papers shown

Title
Stochastic mirror descent for nonparametric adaptive importance sampling Pascal Bianchi B. Delyon Victor Priser François Portier 58 3 0 20 Sep 2024
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 128 3 0 02 Oct 2023
Cyclical Kernel Adaptive Metropolis J. Li Yimeng Zeng Wen-Ping Guo 18 0 0 29 Jun 2022
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 83 20 0 18 Oct 2021
Semi-Empirical Objective Functions for MCMC Proposal Optimization Chris Cannella Vahid Tarokh 65 1 0 03 Jun 2021
Active Learning for Deep Gaussian Process Surrogates Annie Sauer R. Gramacy D. Higdon GP AI4CE 71 92 0 15 Dec 2020
Adaptive Path Sampling in Metastable Posterior Distributions Yuling Yao Collin Cademartori Aki Vehtari Andrew Gelman TPM 61 6 0 01 Sep 2020
Scalable Approximate Inference and Some Applications Jun Han BDL 52 1 0 07 Mar 2020
Hug and Hop: a discrete-time, non-reversible Markov chain Monte-Carlo algorithm Matthew Ludkin Chris Sherlock 42 8 0 29 Jul 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi Sébastien Marmin Maurizio Filippone BDL 99 16 0 27 May 2019
Adaptive MCMC via Combining Local Samplers Kiarash Shaloudegi András Gyorgy 64 1 0 11 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 81 92 0 07 Jun 2018
Stein Variational Gradient Descent Without Gradient J. Han Qiang Liu 92 45 0 07 Jun 2018
Air Markov Chain Monte Carlo C. Chimisov Krzysztof Latuszynski Gareth O. Roberts 82 11 0 28 Jan 2018
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Stefan Klus Ingmar Schuster Krikamol Muandet 91 122 0 05 Dec 2017
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 85 130 0 25 Nov 2017
Pseudo-extended Markov chain Monte Carlo Christopher Nemeth Fredrik Lindsten Maurizio Filippone J. Hensman 74 10 0 17 Aug 2017
Efficient and principled score estimation with Nyström kernel exponential families Danica J. Sutherland Heiko Strathmann Michael Arbel Arthur Gretton 84 24 0 23 May 2017
Active and Transfer Learning of Grasps by Kernel Adaptive MCMC P. Zech Hanchen Xiong J. Piater 15 0 0 19 Nov 2016
Active and Transfer Learning of Grasps by Sampling from Demonstration P. Zech J. Piater 26 2 0 19 Nov 2016
Grasp Learning by Sampling from Demonstration P. Zech J. Piater 35 3 0 19 Nov 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 140 64 0 31 May 2016
Kernel Sequential Monte Carlo Ingmar Schuster Heiko Strathmann Brooks Paige Dino Sejdinovic BDL 43 7 0 11 Oct 2015
Gradient Importance Sampling Ingmar Schuster 89 25 0 21 Jul 2015
Geometric ergodicity of the Random Walk Metropolis with position-dependent proposal covariance Samuel Livingstone 167 11 0 21 Jul 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families Heiko Strathmann Dino Sejdinovic Samuel Livingstone Z. Szabó Arthur Gretton BDL 100 76 0 08 Jun 2015
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings Mijung Park Wittawat Jitkrittum Dino Sejdinovic 74 10 0 09 Feb 2015
A Wild Bootstrap for Degenerate Kernel Tests Kacper P. Chwialkowski Dino Sejdinovic Arthur Gretton 86 56 0 23 Aug 2014
Information-geometric Markov Chain Monte Carlo methods using Diffusions Samuel Livingstone Mark Girolami DiffM 114 45 0 31 Mar 2014