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The Pareto Frontier of model selection for general Contextual Bandits

The Pareto Frontier of model selection for general Contextual Bandits

25 October 2021
T. V. Marinov
Julian Zimmert
ArXivPDFHTML

Papers citing "The Pareto Frontier of model selection for general Contextual Bandits"

18 / 18 papers shown
Title
Offline-to-online hyperparameter transfer for stochastic bandits
Dravyansh Sharma
Arun Sai Suggala
OffRL
40
2
0
06 Jan 2025
Model Selection for Average Reward RL with Application to Utility
  Maximization in Repeated Games
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
Alireza Masoumian
James R. Wright
69
1
0
09 Nov 2024
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction
  to Linear Bandits, and Limitations around Unknown Marginals
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
CML
29
0
0
01 Jul 2024
Efficient Sequential Decision Making with Large Language Models
Efficient Sequential Decision Making with Large Language Models
Dingyang Chen
Qi Zhang
Yinglun Zhu
LRM
39
3
0
17 Jun 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
Tianyuan Jin
Kyoungseok Jang
Nicolò Cesa-Bianchi
41
1
0
03 Jun 2024
Meta-Learning Adversarial Bandit Algorithms
Meta-Learning Adversarial Bandit Algorithms
M. Khodak
Ilya Osadchiy
Keegan Harris
Maria-Florina Balcan
Kfir Y. Levy
Ron Meir
Zhiwei Steven Wu
FedML
28
2
0
05 Jul 2023
Data-Driven Online Model Selection With Regret Guarantees
Data-Driven Online Model Selection With Regret Guarantees
Aldo Pacchiano
Christoph Dann
Claudio Gentile
OffRL
16
3
0
05 Jun 2023
Estimating Optimal Policy Value in General Linear Contextual Bandits
Estimating Optimal Policy Value in General Linear Contextual Bandits
Jonathan Lee
Weihao Kong
Aldo Pacchiano
Vidya Muthukumar
Emma Brunskill
28
0
0
19 Feb 2023
Leveraging User-Triggered Supervision in Contextual Bandits
Leveraging User-Triggered Supervision in Contextual Bandits
Alekh Agarwal
Claudio Gentile
T. V. Marinov
21
0
0
07 Feb 2023
Best of Both Worlds Model Selection
Best of Both Worlds Model Selection
Aldo Pacchiano
Christoph Dann
Claudio Gentile
26
10
0
29 Jun 2022
Adversarial Bandits against Arbitrary Strategies
Adversarial Bandits against Arbitrary Strategies
Jung-hun Kim
Se-Young Yun
49
0
0
30 May 2022
Corralling a Larger Band of Bandits: A Case Study on Switching Regret
  for Linear Bandits
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits
Haipeng Luo
Mengxiao Zhang
Peng Zhao
Zhi-Hua Zhou
34
17
0
12 Feb 2022
Adaptive Bandit Convex Optimization with Heterogeneous Curvature
Adaptive Bandit Convex Optimization with Heterogeneous Curvature
Haipeng Luo
Mengxiao Zhang
Penghui Zhao
40
5
0
12 Feb 2022
Tracking Most Significant Arm Switches in Bandits
Tracking Most Significant Arm Switches in Bandits
Joe Suk
Samory Kpotufe
30
18
0
27 Dec 2021
Universal and data-adaptive algorithms for model selection in linear
  contextual bandits
Universal and data-adaptive algorithms for model selection in linear contextual bandits
Vidya Muthukumar
A. Krishnamurthy
21
5
0
08 Nov 2021
Model Selection for Generic Contextual Bandits
Model Selection for Generic Contextual Bandits
Avishek Ghosh
Abishek Sankararaman
Kannan Ramchandran
8
6
0
07 Jul 2021
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance
  Perspective
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective
Sanath Kumar Krishnamurthy
Adrienne Margaret Propp
Susan Athey
25
3
0
11 Jun 2021
Pareto Optimal Model Selection in Linear Bandits
Pareto Optimal Model Selection in Linear Bandits
Yinglun Zhu
Robert D. Nowak
8
13
0
12 Feb 2021
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