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Fast Distributed Bandits for Online Recommendation Systems

Fast Distributed Bandits for Online Recommendation Systems

16 July 2020
K. Mahadik
Qingyun Wu
Shuai Li
Amit Sabne
ArXivPDFHTML

Papers citing "Fast Distributed Bandits for Online Recommendation Systems"

5 / 5 papers shown
Title
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
50
0
0
13 Jun 2024
Modeling Attrition in Recommender Systems with Departing Bandits
Modeling Attrition in Recommender Systems with Departing Bandits
Omer Ben-Porat
Lee Cohen
Liu Leqi
Zachary Chase Lipton
Yishay Mansour
21
11
0
25 Mar 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error:
  An Enhanced Bayesian Upper Confidence Bound Framework
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang
Henry Lam
A. Meisami
Haofeng Zhang
38
4
0
31 Jan 2022
Federated Multi-Armed Bandits
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
77
92
0
28 Jan 2021
Efficient Contextual Bandits with Continuous Actions
Efficient Contextual Bandits with Continuous Actions
Maryam Majzoubi
Chicheng Zhang
Rajan Chari
A. Krishnamurthy
John Langford
Aleksandrs Slivkins
OffRL
29
32
0
10 Jun 2020
1