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Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC

Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC

Jeremie Coullon
Leah F. South
Christopher Nemeth
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Papers citing "Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC"

7 / 7 papers shown
Title
AutoStep: Locally adaptive involutive MCMC
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
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Henrique Donâncio
Antoine Barrier
Leah F. South
Florence Forbes
25
0
0
16 Oct 2024
Nyström Kernel Stein Discrepancy
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
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics
Lorenzo Mauri
Giacomo Zanella
30
3
0
14 May 2024
Measuring Sample Quality with Kernels
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
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
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016