Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC

27 May 2021

Papers citing "Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC"

7 / 7 papers shown

Title
AutoStep: Locally adaptive involutive MCMC Tiange Liu Nikola Surjanovic Miguel Biron-Lattes Alexandre Bouchard-Coté Trevor Campbell 30 1 0 24 Oct 2024
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach Henrique Donâncio Antoine Barrier Leah F. South Florence Forbes 23 0 0 16 Oct 2024
Nyström Kernel Stein Discrepancy Florian Kalinke Zoltan Szabo Bharath K. Sriperumbudur 46 1 0 12 Jun 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics Lorenzo Mauri Giacomo Zanella 30 3 0 14 May 2024
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016