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1806.00543
Cited By
The Externalities of Exploration and How Data Diversity Helps Exploitation
1 June 2018
Manish Raghavan
Aleksandrs Slivkins
Jennifer Wortman Vaughan
Zhiwei Steven Wu
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Papers citing
"The Externalities of Exploration and How Data Diversity Helps Exploitation"
13 / 13 papers shown
Title
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
Yuwei Luo
Mohsen Bayati
23
1
0
26 Jun 2023
Bandit Social Learning: Exploration under Myopic Behavior
Kiarash Banihashem
Mohammadtaghi Hajiaghayi
Suho Shin
Aleksandrs Slivkins
21
4
0
15 Feb 2023
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off
Shaoyi Huang
Bowen Lei
Dongkuan Xu
Hongwu Peng
Yue Sun
Mimi Xie
Caiwen Ding
29
19
0
30 Nov 2022
Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
Nika Haghtalab
Yanjun Han
Abhishek Shetty
Kunhe Yang
38
23
0
17 Feb 2022
Fair Exploration via Axiomatic Bargaining
Jackie Baek
Vivek F. Farias
FaML
18
28
0
04 Jun 2021
Competing Bandits: The Perils of Exploration Under Competition
Guy Aridor
Yishay Mansour
Aleksandrs Slivkins
Zhiwei Steven Wu
17
16
0
20 Jul 2020
Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab
Tim Roughgarden
Abhishek Shetty
34
47
0
17 Jun 2020
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits
Manish Raghavan
Aleksandrs Slivkins
Jennifer Wortman Vaughan
Zhiwei Steven Wu
13
18
0
19 May 2020
Model selection for contextual bandits
Dylan J. Foster
A. Krishnamurthy
Haipeng Luo
OffRL
29
89
0
03 Jun 2019
Bayesian Exploration with Heterogeneous Agents
Nicole Immorlica
Jieming Mao
Aleksandrs Slivkins
Zhiwei Steven Wu
21
24
0
19 Feb 2019
Policy Certificates: Towards Accountable Reinforcement Learning
Christoph Dann
Ashutosh Adhikari
Wei Wei
Jimmy J. Lin
OffRL
12
140
0
07 Nov 2018
Fair Personalization
L. E. Celis
Nisheeth K. Vishnoi
FaML
31
17
0
07 Jul 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,091
0
24 Oct 2016
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