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An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
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An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints

Xin Liu
Bin Li
P. Shi
Lei Ying
ArXiv (abs)PDFHTML

Papers citing "An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints"

7 / 7 papers shown
Title
Multi-Metric Adaptive Experimental Design under Fixed Budget with Validation
Multi-Metric Adaptive Experimental Design under Fixed Budget with Validation
Qining Zhang
Tanner Fiez
Yi Liu
Wenyang Liu
66
0
0
03 Jun 2025
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
Xiaoyi Wu
Bo Ji
Bin Li
FaML
128
0
0
01 Jan 2025
Trading-off price for data quality to achieve fair online allocation
Trading-off price for data quality to achieve fair online allocation
M. Molina
Nicolas Gast
Patrick Loiseau
Vianney Perchet
58
4
0
23 Jun 2023
Online Nonstochastic Control with Adversarial and Static Constraints
Online Nonstochastic Control with Adversarial and Static Constraints
Xin Liu
Zixi Yang
Lei Ying
64
5
0
05 Feb 2023
Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB
Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB
Zixi Yang
R. Srikant
Lei Ying
55
9
0
02 Sep 2022
On Kernelized Multi-Armed Bandits with Constraints
On Kernelized Multi-Armed Bandits with Constraints
Xingyu Zhou
Bo Ji
69
30
0
29 Mar 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
Liyu Chen
R. Jain
Haipeng Luo
112
28
0
31 Jan 2022