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Extreme Bandits using Robust Statistics

Extreme Bandits using Robust Statistics

9 September 2021
Sujay Bhatt
Ping Li
G. Samorodnitsky
ArXivPDFHTML

Papers citing "Extreme Bandits using Robust Statistics"

5 / 5 papers shown
Title
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Amir Rezaei Balef
Claire Vernade
Katharina Eggensperger
38
0
0
08 May 2025
Materials Discovery using Max K-Armed Bandit
Materials Discovery using Max K-Armed Bandit
N. Kikkawa
H. Ohno
22
4
0
16 Dec 2022
On Penalization in Stochastic Multi-armed Bandits
On Penalization in Stochastic Multi-armed Bandits
Guanhua Fang
P. Li
G. Samorodnitsky
FaML
28
1
0
15 Nov 2022
Efficient Algorithms for Extreme Bandits
Efficient Algorithms for Extreme Bandits
Dorian Baudry
Yoan Russac
E. Kaufmann
13
3
0
21 Mar 2022
Maximal Objectives in the Multi-armed Bandit with Applications
Maximal Objectives in the Multi-armed Bandit with Applications
Eren Ozbay
Vijay Kamble
19
0
0
11 Jun 2020
1