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Online, Informative MCMC Thinning with Kernelized Stein Discrepancy

Online, Informative MCMC Thinning with Kernelized Stein Discrepancy

18 January 2022
Cole Hawkins
Alec Koppel
Zheng-Wei Zhang
ArXivPDFHTML

Papers citing "Online, Informative MCMC Thinning with Kernelized Stein Discrepancy"

7 / 7 papers shown
Title
Stein $Π$-Importance Sampling
Stein ΠΠΠ-Importance Sampling
Congye Wang
Ye Chen
Heishiro Kanagawa
Chris J. Oates
24
2
0
17 May 2023
STEERING: Stein Information Directed Exploration for Model-Based
  Reinforcement Learning
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Mengdi Wang
Furong Huang
Dinesh Manocha
11
7
0
28 Jan 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for
  Model-Based Reinforcement Learning
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Brian M. Sadler
Furong Huang
Pratap Tokekar
Dinesh Manocha
10
9
0
02 Jun 2022
A stochastic Stein Variational Newton method
A stochastic Stein Variational Newton method
Alex Leviyev
Joshua Chen
Yifei Wang
Omar Ghattas
A. Zimmerman
12
9
0
19 Apr 2022
A Stein variational Newton method
A Stein variational Newton method
Gianluca Detommaso
Tiangang Cui
Alessio Spantini
Youssef Marzouk
Robert Scheichl
53
114
0
08 Jun 2018
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
78
221
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
268
5,635
0
05 Dec 2016
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