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Scalable Neural Contextual Bandit for Recommender Systems

Scalable Neural Contextual Bandit for Recommender Systems

26 June 2023
Zheqing Zhu
Benjamin Van Roy
    OffRL
ArXivPDFHTML

Papers citing "Scalable Neural Contextual Bandit for Recommender Systems"

9 / 9 papers shown
Title
Neural Contextual Bandits Under Delayed Feedback Constraints
Neural Contextual Bandits Under Delayed Feedback Constraints
Mohammadali Moghimi
Sharu Theresa Jose
Shana Moothedath
29
0
0
16 Apr 2025
Bayesian Bandit Algorithms with Approximate Inference in Stochastic
  Linear Bandits
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits
Ziyi Huang
Henry Lam
Haofeng Zhang
33
0
0
20 Jun 2024
Uncertainty of Joint Neural Contextual Bandit
Uncertainty of Joint Neural Contextual Bandit
Hongbo Guo
Zheqing Zhu
31
0
0
04 Jun 2024
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble
  Sampling
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling
Zheqing Zhu
Yueyang Liu
Xu Kuang
Benjamin Van Roy
AI4TS
21
0
0
11 Oct 2023
Optimizing Long-term Value for Auction-Based Recommender Systems via
  On-Policy Reinforcement Learning
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning
Ruiyang Xu
Jalaj Bhandari
D. Korenkevych
F. Liu
Yuchen He
Alex Nikulkov
Zheqing Zhu
OffRL
25
6
0
23 May 2023
Evaluating Online Bandit Exploration In Large-Scale Recommender System
Evaluating Online Bandit Exploration In Large-Scale Recommender System
Hongbo Guo
Ruben Naeff
Alex Nikulkov
Zheqing Zhu
OffRL
17
6
0
05 Apr 2023
Deep Exploration for Recommendation Systems
Deep Exploration for Recommendation Systems
Zheqing Zhu
Benjamin Van Roy
27
11
0
26 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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