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1405.3318
Cited By
Adaptive Monte Carlo via Bandit Allocation
13 May 2014
James Neufeld
András Gyorgy
Dale Schuurmans
Csaba Szepesvári
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Papers citing
"Adaptive Monte Carlo via Bandit Allocation"
10 / 10 papers shown
Title
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling
Subhojyoti Mukherjee
Josiah P. Hanna
Robert D. Nowak
OffRL
90
15
0
09 Mar 2022
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
Anthony Corso
Robert J. Moss
Mark Koren
Ritchie Lee
Mykel J. Kochenderfer
87
176
0
06 May 2020
Near Optimal Stratified Sampling
Tiancheng Yu
Xiyu Zhai
S. Sra
25
3
0
26 Jun 2019
Learning Multiple Markov Chains via Adaptive Allocation
M. S. Talebi
Odalric-Ambrym Maillard
50
1
0
27 May 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
Junhui Yin
Jiayan Qiu
Csaba Szepesvári
Siqing Zhang
Avraham Ruderman
Jiyang Xie
Krishnamurthy Dvijotham
Zhanyu Ma
N. Heess
Pushmeet Kohli
AAML
99
81
0
04 Dec 2018
On Exploration, Exploitation and Learning in Adaptive Importance Sampling
Xiaoyu Lu
Tom Rainforth
Yuanshuo Zhou
Jan-Willem van de Meent
Yee Whye Teh
39
4
0
31 Oct 2018
Inference Trees: Adaptive Inference with Exploration
Tom Rainforth
Yuanshuo Zhou
Xiaoyu Lu
Yee Whye Teh
Frank Wood
Hongseok Yang
Jan-Willem van de Meent
TPM
55
12
0
25 Jun 2018
Adaptive MCMC via Combining Local Samplers
Kiarash Shaloudegi
András Gyorgy
64
1
0
11 Jun 2018
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds
Divya Padmanabhan
Satyanath Bhat
Dinesh Garg
S. Shevade
Y. Narahari
17
3
0
25 Jan 2016
A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit
Giuseppe Burtini
Jason L. Loeppky
Ramon Lawrence
88
119
0
02 Oct 2015
1