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Contextual Semibandits via Supervised Learning Oracles
20 February 2015
A. Krishnamurthy
Alekh Agarwal
Miroslav Dudík
OffRL
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Papers citing
"Contextual Semibandits via Supervised Learning Oracles"
11 / 11 papers shown
Title
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles
Yuxuan Han
Jialin Zeng
Yang Wang
Yangzhen Xiang
Jiheng Zhang
103
9
0
21 Oct 2022
Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn
Diana M. Negoescu
Pasha Khosravi
Shadow Zhao
Nanyu Chen
P. Ahammad
H. González
31
0
0
16 Sep 2022
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability
Aadirupa Saha
A. Krishnamurthy
100
38
0
24 Nov 2021
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits
Manish Raghavan
Aleksandrs Slivkins
Jennifer Wortman Vaughan
Zhiwei Steven Wu
371
18
0
19 May 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan J. Foster
Alexander Rakhlin
371
213
0
12 Feb 2020
Model selection for contextual bandits
Dylan J. Foster
A. Krishnamurthy
Haipeng Luo
OffRL
216
90
0
03 Jun 2019
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
679
1,024
0
15 Apr 2019
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting
A. Krishnamurthy
John Langford
Aleksandrs Slivkins
Chicheng Zhang
OffRL
175
65
0
05 Feb 2019
Semiparametric Contextual Bandits
A. Krishnamurthy
Zhiwei Steven Wu
Vasilis Syrgkanis
140
45
0
12 Mar 2018
Practical Contextual Bandits with Regression Oracles
Dylan J. Foster
Alekh Agarwal
Miroslav Dudík
Haipeng Luo
Robert Schapire
400
127
0
03 Mar 2018
Combinatorial Semi-Bandits with Knapsacks
Karthik Abinav Sankararaman
Aleksandrs Slivkins
80
50
0
23 May 2017
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