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Corralling a Band of Bandit Algorithms
Annual Conference Computational Learning Theory (COLT), 2016
19 December 2016
Alekh Agarwal
Haipeng Luo
Behnam Neyshabur
Robert Schapire
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Papers citing
"Corralling a Band of Bandit Algorithms"
50 / 121 papers shown
Title
Improved Training Mechanism for Reinforcement Learning via Online Model Selection
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UCB-type Algorithm for Budget-Constrained Expert Learning
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Data-Dependent Regret Bounds for Constrained MABs
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Francesco Emanuele Stradi
Matteo Castiglioni
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347
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26 May 2025
Sparse Nonparametric Contextual Bandits
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Julia Olkhovskaya
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323
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20 Mar 2025
Offline-to-online hyperparameter transfer for stochastic bandits
AAAI Conference on Artificial Intelligence (AAAI), 2025
Dravyansh Sharma
Arun Sai Suggala
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06 Jan 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning
International Conference on Algorithmic Learning Theory (ALT), 2021
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Christoph Dann
Julian Zimmert
281
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Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
IEEE Transactions on Communications (IEEE Trans. Commun.), 2023
Michail Kalntis
Georgios Iosifidis
Fernando A. Kuipers
149
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31 Dec 2024
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
Alireza Masoumian
James R. Wright
405
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09 Nov 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Neural Information Processing Systems (NeurIPS), 2024
Juliusz Ziomek
Masaki Adachi
Michael A. Osborne
407
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14 Oct 2024
Stochastic Bandits Robust to Adversarial Attacks
Xuchuang Wang
Jinhang Zuo
Xutong Liu
John C. S. Lui
Mohammad Hajiesmaili
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133
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16 Aug 2024
Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectives
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Aldo Pacchiano
189
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07 Aug 2024
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
Ziyi Liu
Idan Attias
Daniel M. Roy
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183
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01 Jul 2024
Efficient Sequential Decision Making with Large Language Models
Dingyang Chen
Qi Zhang
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17 Jun 2024
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
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Ramiro Deo-Campo Vuong
Haipeng Luo
184
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31 May 2024
Symmetric Linear Bandits with Hidden Symmetry
Nam-Phuong Tran
T. Ta
Debmalya Mandal
Long Tran-Thanh
310
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22 May 2024
Incentive-compatible Bandits: Importance Weighting No More
Julian Zimmert
T. V. Marinov
175
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10 May 2024
Online Bandits with (Biased) Offline Data: Adaptive Learning under Distribution Mismatch
International Conference on Machine Learning (ICML), 2024
Wang Chi Cheung
Lixing Lyu
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385
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The SMART approach to instance-optimal online learning
Siddhartha Banerjee
Alankrita Bhatt
Chao Yu
173
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Model Assessment and Selection under Temporal Distribution Shift
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Chengpiao Huang
Kaizheng Wang
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282
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13 Feb 2024
Experiment Planning with Function Approximation
Neural Information Processing Systems (NeurIPS), 2024
Aldo Pacchiano
Jonathan Lee
Emma Brunskill
OffRL
183
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10 Jan 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
Yuko Kuroki
Alberto Rumi
Taira Tsuchiya
Fabio Vitale
Nicolò Cesa-Bianchi
271
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24 Dec 2023
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
Neural Information Processing Systems (NeurIPS), 2023
Kiarash Banihashem
Mohammadtaghi Hajiaghayi
Suho Shin
Max Springer
258
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29 Oct 2023
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits
Neural Information Processing Systems (NeurIPS), 2023
Haolin Liu
Chen-Yu Wei
Julian Zimmert
236
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Anytime Model Selection in Linear Bandits
Neural Information Processing Systems (NeurIPS), 2023
Parnian Kassraie
N. Emmenegger
Andreas Krause
Aldo Pacchiano
289
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24 Jul 2023
Data-Driven Online Model Selection With Regret Guarantees
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Aldo Pacchiano
Christoph Dann
Claudio Gentile
OffRL
321
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05 Jun 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yusha Liu
Aarti Singh
247
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26 Apr 2023
Improved Regret Bounds for Online Kernel Selection under Bandit Feedback
Junfan Li
Shizhong Liao
110
1
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09 Mar 2023
A Blackbox Approach to Best of Both Worlds in Bandits and Beyond
Annual Conference Computational Learning Theory (COLT), 2023
Christoph Dann
Chen-Yu Wei
Julian Zimmert
213
28
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20 Feb 2023
Estimating Optimal Policy Value in General Linear Contextual Bandits
Jonathan Lee
Weihao Kong
Aldo Pacchiano
Vidya Muthukumar
Emma Brunskill
174
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19 Feb 2023
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits
Yue Kang
Cho-Jui Hsieh
T. C. Lee
240
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18 Feb 2023
Leveraging User-Triggered Supervision in Contextual Bandits
Alekh Agarwal
Claudio Gentile
T. V. Marinov
157
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07 Feb 2023
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
International Conference on Machine Learning (ICML), 2023
Jiatai Huang
Yan Dai
Longbo Huang
260
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25 Jan 2023
Stochastic Rising Bandits
International Conference on Machine Learning (ICML), 2022
Alberto Maria Metelli
F. Trovò
Matteo Pirola
Marcello Restelli
152
18
0
07 Dec 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Jonathan Lee
George Tucker
Ofir Nachum
Bo Dai
Emma Brunskill
OffRL
322
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03 Nov 2022
Lifelong Bandit Optimization: No Prior and No Regret
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Felix Schur
Parnian Kassraie
Jonas Rothfuss
Andreas Krause
282
3
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27 Oct 2022
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Pierre Gaillard
Aadirupa Saha
Soham Dan
183
3
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26 Oct 2022
Eigen Memory Trees
Mark Rucker
Jordan T. Ash
John Langford
Paul Mineiro
Ida Momennejad
163
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Conditionally Risk-Averse Contextual Bandits
Mónika Farsang
Paul Mineiro
Wangda Zhang
208
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24 Oct 2022
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Andrea Tirinzoni
Matteo Papini
Ahmed Touati
A. Lazaric
Matteo Pirotta
234
6
0
24 Oct 2022
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
Neural Information Processing Systems (NeurIPS), 2022
Abhishek Gupta
Aldo Pacchiano
Yuexiang Zhai
Sham Kakade
Sergey Levine
OffRL
193
93
0
18 Oct 2022
Neural Design for Genetic Perturbation Experiments
International Conference on Learning Representations (ICLR), 2022
Aldo Pacchiano
Drausin Wulsin
Robert A. Barton
L. Voloch
218
7
0
26 Jul 2022
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Debangshu Banerjee
Avishek Ghosh
Sayak Ray Chowdhury
Aditya Gopalan
247
10
0
23 Jul 2022
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
International Conference on Machine Learning (ICML), 2022
Yinglun Zhu
Paul Mineiro
190
18
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12 Jul 2022
Model Selection in Reinforcement Learning with General Function Approximations
Avishek Ghosh
Sayak Ray Chowdhury
114
3
0
06 Jul 2022
Best of Both Worlds Model Selection
Neural Information Processing Systems (NeurIPS), 2022
Aldo Pacchiano
Christoph Dann
Claudio Gentile
192
11
0
29 Jun 2022
Adversarial Bandits against Arbitrary Strategies
Jung-hun Kim
Se-Young Yun
357
0
0
30 May 2022
Breaking the
T
\sqrt{T}
T
Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
International Conference on Machine Learning (ICML), 2022
Avishek Ghosh
Abishek Sankararaman
167
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Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Neural Information Processing Systems (NeurIPS), 2022
Jiafan He
Dongruo Zhou
Tong Zhang
Quanquan Gu
233
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13 May 2022
Leveraging Initial Hints for Free in Stochastic Linear Bandits
International Conference on Algorithmic Learning Theory (ALT), 2022
Ashok Cutkosky
Christoph Dann
Abhimanyu Das
Qiuyi
Qiuyi Zhang
139
4
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08 Mar 2022
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