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Cheap Bandits
v1v2 (latest)

Cheap Bandits

International Conference on Machine Learning (ICML), 2015
15 June 2015
M. Hanawal
Venkatesh Saligrama
Michal Valko
Rémi Munos
ArXiv (abs)PDFHTML

Papers citing "Cheap Bandits"

7 / 7 papers shown
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro
Khaled Eldowa
Nicolò Cesa-Bianchi
158
1
0
22 Oct 2025
Online Network Source Optimization with Graph-Kernel MAB
Online Network Source Optimization with Graph-Kernel MAB
Laura Toni
P. Frossard
355
1
0
07 Jul 2023
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank
  Preference Bandits
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Suprovat Ghoshal
Aadirupa Saha
259
13
0
23 Feb 2022
Continuous Time Bandits With Sampling Costs
Continuous Time Bandits With Sampling Costs
R. Vaze
M. Hanawal
254
0
0
12 Jul 2021
Risk-Averse Multi-Armed Bandit Problems under Mean-Variance Measure
Risk-Averse Multi-Armed Bandit Problems under Mean-Variance Measure
Sattar Vakili
Qing Zhao
409
97
0
18 Apr 2016
Context-Aware Bandits
Shuai Li
Purushottam Kar
285
14
0
12 Oct 2015
Algorithms for Linear Bandits on Polyhedral Sets
Algorithms for Linear Bandits on Polyhedral Sets
M. Hanawal
Amir Leshem
Venkatesh Saligrama
98
1
0
26 Sep 2015
1
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