Deep Exploration for Recommendation Systems

26 September 2021

Papers citing "Deep Exploration for Recommendation Systems"

32 / 32 papers shown

Title
Ensemble sampling for linear bandits: small ensembles suffice David Janz A. Litvak Csaba Szepesvári 76 1 0 14 Nov 2023
Scalable Neural Contextual Bandit for Recommender Systems Zheqing Zhu Benjamin Van Roy OffRL 55 9 0 26 Jun 2023
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning Ruiyang Xu Jalaj Bhandari D. Korenkevych Fan Liu Yuchen He Alex Nikulkov Zheqing Zhu OffRL 54 6 0 23 May 2023
Evaluating Online Bandit Exploration In Large-Scale Recommender System Hongbo Guo Ruben Naeff Alex Nikulkov Zheqing Zhu OffRL 44 6 0 05 Apr 2023
An Analysis of Ensemble Sampling Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 80 22 0 02 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
The Neural Testbed: Evaluating Joint Predictions Ian Osband Zheng Wen S. Asghari Vikranth Dwaracherla Botao Hao M. Ibrahimi Dieterich Lawson Xiuyuan Lu Brendan O'Donoghue Benjamin Van Roy UQCV 54 22 0 09 Oct 2021
Epistemic Neural Networks Ian Osband Zheng Wen M. Asghari Vikranth Dwaracherla M. Ibrahimi Xiyuan Lu Benjamin Van Roy UQCV BDL 70 107 0 19 Jul 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 282 494 0 31 Dec 2020
Neural Contextual Bandits with Deep Representation and Shallow Exploration Pan Xu Zheng Wen Handong Zhao Quanquan Gu OffRL 69 77 0 03 Dec 2020
Neural Thompson Sampling Weitong Zhang Dongruo Zhou Lihong Li Quanquan Gu 64 122 0 02 Oct 2020
Recommendation System-based Upper Confidence Bound for Online Advertising Nhan Nguyen-Thanh D. Marinca K. Khawam D. Rohde Flavian Vasile E. Lohan Steven Martin Dominique Quadri OffRL 29 13 0 09 Sep 2019
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction S. Ktena Alykhan Tejani Lucas Theis Pranay K. Myana D. Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi NoLa 36 52 0 15 Jul 2019
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 114 479 0 06 Dec 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 187 416 0 20 Oct 2018
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 84 1,062 0 11 Sep 2018
Outer Product-based Neural Collaborative Filtering Xiangnan He Xiaoyu Du Xiang Wang Feng Tian Jinhui Tang Tat-Seng Chua 58 339 0 12 Aug 2018
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising D. Rohde Stephen Bonner Travis Dunlop Flavian Vasile Alexandros Karatzoglou OffRL 57 150 0 02 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 52 221 0 26 Jul 2018
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 71 379 0 08 Jun 2018
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning Jing-Cheng Shi Yang Yu Qing Da Shi-Yong Chen Anxiang Zeng OffRL 66 187 0 25 May 2018
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 202 1,220 0 26 Jun 2017
Ensemble Sampling Xiuyuan Lu Benjamin Van Roy 126 120 0 20 May 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 89 306 0 22 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 339 4,629 0 10 Nov 2016
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 176 3,659 0 24 Jun 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 121 1,309 0 15 Feb 2016
Learning to Optimize via Information-Directed Sampling Daniel Russo Benjamin Van Roy 160 283 0 21 Mar 2014
Online Learning under Delayed Feedback Pooria Joulani András Gyorgy Csaba Szepesvári 90 279 0 04 Jun 2013
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond Aurélien Garivier Olivier Cappé 174 612 0 12 Feb 2011
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms Lihong Li Wei Chu John Langford Xuanhui Wang OffRL 214 575 0 31 Mar 2010
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 463 2,951 0 28 Feb 2010