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Constrained Linear Thompson Sampling
v1v2 (latest)

Constrained Linear Thompson Sampling

3 March 2025
Aditya Gangrade
Venkatesh Saligrama
ArXiv (abs)PDFHTML

Papers citing "Constrained Linear Thompson Sampling"

21 / 21 papers shown
Title
Testing the Feasibility of Linear Programs with Bandit Feedback
Testing the Feasibility of Linear Programs with Bandit Feedback
Aditya Gangrade
Aditya Gopalan
Venkatesh Saligrama
Clayton Scott
77
2
0
21 Jun 2024
Contextual Bandits with Stage-wise Constraints
Contextual Bandits with Stage-wise Constraints
Aldo Pacchiano
Mohammad Ghavamzadeh
Peter L. Bartlett
44
9
0
15 Jan 2024
Convex Methods for Constrained Linear Bandits
Convex Methods for Constrained Linear Bandits
Amirhossein Afsharrad
Ahmadreza Moradipari
Sanjay Lall
39
4
0
07 Nov 2023
Directional Optimism for Safe Linear Bandits
Directional Optimism for Safe Linear Bandits
Spencer Hutchinson
Berkay Turan
M. Alizadeh
80
8
0
29 Aug 2023
Pure Exploration in Bandits with Linear Constraints
Pure Exploration in Bandits with Linear Constraints
Emil Carlsson
Debabrota Basu
Fredrik D. Johansson
Devdatt Dubhashi
73
4
0
22 Jun 2023
The Impact of the Geometric Properties of the Constraint Set in Safe
  Optimization with Bandit Feedback
The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback
Spencer Hutchinson
Berkay Turan
M. Alizadeh
54
7
0
01 May 2023
Information-Theoretic Safe Exploration with Gaussian Processes
Information-Theoretic Safe Exploration with Gaussian Processes
A. Bottero
Carlos E. Luis
Julia Vinogradska
Felix Berkenkamp
Jan Peters
71
15
0
09 Dec 2022
Safe Linear Bandits over Unknown Polytopes
Safe Linear Bandits over Unknown Polytopes
Aditya Gangrade
Tianrui Chen
Venkatesh Saligrama
81
8
0
27 Sep 2022
Exploration in Linear Bandits with Rich Action Sets and its Implications
  for Inference
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
Debangshu Banerjee
Avishek Ghosh
Sayak Ray Chowdhury
Aditya Gopalan
61
10
0
23 Jul 2022
Active Learning with Safety Constraints
Active Learning with Safety Constraints
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin Jamieson
64
14
0
22 Jun 2022
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
Tianrui Chen
Aditya Gangrade
Venkatesh Saligrama
71
12
0
01 Apr 2022
Learning to be Fair: A Consequentialist Approach to Equitable
  Decision-Making
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
Alex Chohlas-Wood
Madison Coots
Henry Zhu
Emma Brunskill
Sharad Goel
FaML
55
25
0
18 Sep 2021
The Elliptical Potential Lemma Revisited
The Elliptical Potential Lemma Revisited
Alexandra Carpentier
Claire Vernade
Yasin Abbasi-Yadkori
173
21
0
20 Oct 2020
Stochastic Bandits with Linear Constraints
Stochastic Bandits with Linear Constraints
Aldo Pacchiano
Mohammad Ghavamzadeh
Peter L. Bartlett
Heinrich Jiang
83
73
0
17 Jun 2020
Safe Linear Thompson Sampling with Side Information
Safe Linear Thompson Sampling with Side Information
Ahmadreza Moradipari
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
159
44
0
06 Nov 2019
Linear Stochastic Bandits Under Safety Constraints
Linear Stochastic Bandits Under Safety Constraints
Sanae Amani
M. Alizadeh
Christos Thrampoulidis
85
123
0
16 Aug 2019
Time-uniform, nonparametric, nonasymptotic confidence sequences
Time-uniform, nonparametric, nonasymptotic confidence sequences
Steven R. Howard
Aaditya Ramdas
Jon D. McAuliffe
Jasjeet Sekhon
119
245
0
18 Oct 2018
Linear Contextual Bandits with Knapsacks
Linear Contextual Bandits with Knapsacks
Shipra Agrawal
Nikhil R. Devanur
180
144
0
24 Jul 2015
Bandits with concave rewards and convex knapsacks
Bandits with concave rewards and convex knapsacks
Shipra Agrawal
Nikhil R. Devanur
136
201
0
24 Feb 2014
Bandits with Knapsacks
Bandits with Knapsacks
Ashwinkumar Badanidiyuru
Robert D. Kleinberg
Aleksandrs Slivkins
143
433
0
11 May 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal
Navin Goyal
211
1,006
0
15 Sep 2012
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