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Thompson Sampling via Local Uncertainty

Thompson Sampling via Local Uncertainty

30 October 2019
Zhendong Wang
Mingyuan Zhou
ArXivPDFHTML

Papers citing "Thompson Sampling via Local Uncertainty"

6 / 6 papers shown
Title
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
Siddharth Aravindan
Dixant Mittal
Wee Sun Lee
BDL
74
0
0
17 Jan 2025
CARD: Classification and Regression Diffusion Models
CARD: Classification and Regression Diffusion Models
Xizewen Han
Huangjie Zheng
Mingyuan Zhou
DiffM
38
108
0
15 Jun 2022
Probabilistic Conformal Prediction Using Conditional Random Samples
Probabilistic Conformal Prediction Using Conditional Random Samples
Zhendong Wang
Ruijiang Gao
Mingzhang Yin
Mingyuan Zhou
David M. Blei
TPM
34
22
0
14 Jun 2022
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Xinjie Fan
Shujian Zhang
Korawat Tanwisuth
Xiaoning Qian
Mingyuan Zhou
OOD
BDL
UQCV
16
27
0
06 Mar 2021
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,230
0
30 Nov 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
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