Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates

26 January 2023

Papers citing "Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates"

7 / 7 papers shown

Title
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 25 10 0 23 Mar 2023
Lagrangian Manifold Monte Carlo on Monge Patches M. Hartmann Mark Girolami Arto Klami 16 10 0 01 Feb 2022
Projected Stein Variational Gradient Descent Peng Chen Omar Ghattas BDL 55 68 0 09 Feb 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 196 498 0 11 Jun 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016