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Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs

Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs

19 February 2021
Yibo Yang
A. Blanchard
T. Sapsis
P. Perdikaris
ArXivPDFHTML

Papers citing "Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs"

3 / 3 papers shown
Title
A generalized likelihood-weighted optimal sampling algorithm for
  rare-event probability quantification
A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification
Xianliang Gong
Yulin Pan
28
1
0
22 Oct 2023
Discovering and forecasting extreme events via active learning in neural
  operators
Discovering and forecasting extreme events via active learning in neural operators
Ethan Pickering
Stephen Guth
George Karniadakis
T. Sapsis
AI4CE
19
57
0
05 Apr 2022
Scalable Uncertainty Quantification for Deep Operator Networks using
  Randomized Priors
Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors
Yibo Yang
Georgios Kissas
P. Perdikaris
BDL
UQCV
40
40
0
06 Mar 2022
1