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Structure Adaptive Algorithms for Stochastic Bandits

Structure Adaptive Algorithms for Stochastic Bandits

2 July 2020
Rémy Degenne
Han Shao
Wouter M. Koolen
ArXiv (abs)PDFHTML

Papers citing "Structure Adaptive Algorithms for Stochastic Bandits"

24 / 24 papers shown
FLEET: Formal Language-Grounded Scheduling for Heterogeneous Robot Teams
FLEET: Formal Language-Grounded Scheduling for Heterogeneous Robot Teams
Corban G. Rivera
Grayson Byrd
Meghan Booker
Bethany Kemp
Allison Gaines
Emma Holmes
James Uplinger
Celso M. De Melo
D. Handelman
179
0
0
08 Oct 2025
Pure Exploration via Frank-Wolfe Self-Play
Pure Exploration via Frank-Wolfe Self-Play
Xinyu Liu
Chao Qin
Wei You
197
0
0
24 Sep 2025
Non-Asymptotic Analysis of (Sticky) Track-and-Stop
Non-Asymptotic Analysis of (Sticky) Track-and-Stop
Riccardo Poiani
Martino Bernasconi
A. Celli
321
0
0
28 May 2025
Pure Exploration with Infinite Answers
Pure Exploration with Infinite Answers
Riccardo Poiani
Martino Bernasconi
A. Celli
210
2
0
28 May 2025
Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
Aleksandrs Slivkins
Yunzong Xu
Shiliang Zuo
987
3
0
06 Mar 2025
Best-Arm Identification in Unimodal Bandits
Best-Arm Identification in Unimodal BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Riccardo Poiani
Marc Jourdan
E. Kaufmann
Rémy Degenne
534
5
0
04 Nov 2024
Optimal Multi-Fidelity Best-Arm Identification
Optimal Multi-Fidelity Best-Arm Identification
Riccardo Poiani
Rémy Degenne
Emilie Kaufmann
Alberto Maria Metelli
Marcello Restelli
489
4
0
05 Jun 2024
Regret Minimization via Saddle Point Optimization
Regret Minimization via Saddle Point OptimizationNeural Information Processing Systems (NeurIPS), 2024
Johannes Kirschner
Seyed Alireza Bakhtiari
Kushagra Chandak
Volodymyr Tkachuk
Csaba Szepesvári
240
2
0
15 Mar 2024
On the Existence of a Complexity in Fixed Budget Bandit Identification
On the Existence of a Complexity in Fixed Budget Bandit IdentificationAnnual Conference Computational Learning Theory (COLT), 2023
Rémy Degenne
237
17
0
16 Mar 2023
On the Complexity of Representation Learning in Contextual Linear
  Bandits
On the Complexity of Representation Learning in Contextual Linear BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Andrea Tirinzoni
Matteo Pirotta
A. Lazaric
258
1
0
19 Dec 2022
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
Non-Asymptotic Analysis of a UCB-based Top Two AlgorithmNeural Information Processing Systems (NeurIPS), 2022
Marc Jourdan
Rémy Degenne
501
10
0
11 Oct 2022
Choosing Answers in $\varepsilon$-Best-Answer Identification for Linear
  Bandits
Choosing Answers in ε\varepsilonε-Best-Answer Identification for Linear Bandits
Marc Jourdan
Rémy Degenne
204
1
0
09 Jun 2022
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making
Asymptotic Instance-Optimal Algorithms for Interactive Decision MakingInternational Conference on Learning Representations (ICLR), 2022
Kefan Dong
Tengyu Ma
322
10
0
06 Jun 2022
Near-Optimal Collaborative Learning in Bandits
Near-Optimal Collaborative Learning in BanditsNeural Information Processing Systems (NeurIPS), 2022
Clémence Réda
Sattar Vakili
E. Kaufmann
FedML
359
23
0
31 May 2022
Indexed Minimum Empirical Divergence for Unimodal Bandits
Indexed Minimum Empirical Divergence for Unimodal Bandits
Hassan Saber
Pierre Ménard
Odalric-Ambrym Maillard
166
5
0
02 Dec 2021
Dealing With Misspecification In Fixed-Confidence Linear Top-m
  Identification
Dealing With Misspecification In Fixed-Confidence Linear Top-m IdentificationNeural Information Processing Systems (NeurIPS), 2021
Clémence Réda
Andrea Tirinzoni
Rémy Degenne
247
11
0
02 Nov 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear
  Bandits with General Constraints
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General ConstraintsNeural Information Processing Systems (NeurIPS), 2021
Xin Liu
Bin Li
P. Shi
Lei Ying
425
59
0
10 Feb 2021
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit
  Feedback
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit FeedbackInternational Conference on Algorithmic Learning Theory (ALT), 2021
Marc Jourdan
Mojmír Mutný
Johannes Kirschner
Andreas Krause
313
35
0
21 Jan 2021
Asymptotically Optimal Information-Directed Sampling
Asymptotically Optimal Information-Directed SamplingAnnual Conference Computational Learning Theory (COLT), 2020
Johannes Kirschner
Tor Lattimore
Claire Vernade
Csaba Szepesvári
575
38
0
11 Nov 2020
Experimental Design for Regret Minimization in Linear Bandits
Experimental Design for Regret Minimization in Linear BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Andrew Wagenmaker
Julian Katz-Samuels
Kevin Jamieson
447
16
0
01 Nov 2020
An Asymptotically Optimal Primal-Dual Incremental Algorithm for
  Contextual Linear Bandits
An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear BanditsNeural Information Processing Systems (NeurIPS), 2020
Andrea Tirinzoni
Matteo Pirotta
Marcello Restelli
A. Lazaric
417
35
0
23 Oct 2020
Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of
  Relative Losses
Stochastic Bandits with Vector Losses: Minimizing ℓ∞\ell^\inftyℓ∞-Norm of Relative Losses
Xuedong Shang
Han Shao
Jian Qian
242
0
0
15 Oct 2020
Gamification of Pure Exploration for Linear Bandits
Gamification of Pure Exploration for Linear Bandits
Rémy Degenne
Pierre Ménard
Xuedong Shang
Michal Valko
370
86
0
02 Jul 2020
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic
  Optimality
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
Kwang-Sung Jun
Chicheng Zhang
697
11
0
15 Jun 2020
1
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