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Collaborative Filtering Bandits
11 February 2015
Shuai Li
Alexandros Karatzoglou
Claudio Gentile
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Papers citing
"Collaborative Filtering Bandits"
50 / 89 papers shown
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
Proceedings of the VLDB Endowment (PVLDB), 2025
Yanping Zheng
Zhewei Wei
Frank de Hoog
Xu Chen
Hongteng Xu
Yuhang Ye
Jiadeng Huang
164
0
0
11 Oct 2025
Collaborative Filtering using Variational Quantum Hopfield Associative Memory
Amir Kermanshahani
Ebrahim Ardeshir-Larijani
Rakesh Saini
Saif Al-Kuwari
VLM
90
0
0
12 Aug 2025
Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
Ruiquan Huang
Donghao Li
Chengshuai Shi
Cong Shen
Jing Yang
OffRL
461
0
0
01 Jul 2025
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
International Conference on Learning Representations (ICLR), 2025
Zhuohua Li
Maoli Liu
Xiangxiang Dai
John C. S. Lui
243
3
0
03 Jan 2025
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
Neural Information Processing Systems (NeurIPS), 2024
Siyan Wang
Bradford Levy
341
3
0
26 Sep 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
Lichi Li
Zainul Din
Zhen Tan
Sam London
Tianlong Chen
Ajay Daptardar
310
6
0
22 Feb 2024
Graph Neural Bandits
Knowledge Discovery and Data Mining (KDD), 2023
Yunzhe Qi
Yikun Ban
Jingrui He
190
27
0
21 Aug 2023
Impression-Aware Recommender Systems
F. B. P. Maurera
Maurizio Ferrari Dacrema
P. Castells
Paolo Cremonesi
AI4TS
232
4
0
15 Aug 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
Pan Li
Yuyan Wang
Ed H. Chi
Minmin Chen
171
5
0
02 Jun 2023
Discounted Thompson Sampling for Non-Stationary Bandit Problems
Han Qi
Yue Wang
Li Zhu
187
4
0
18 May 2023
Adversarial Online Collaborative Filtering
International Conference on Algorithmic Learning Theory (ALT), 2023
Stephen Pasteris
Fabio Vitale
Mark Herbster
Claudio Gentile
Andre' Panisson
379
0
0
11 Feb 2023
Recommender Systems: A Primer
P. Castells
Dietmar Jannach
OffRL
178
10
0
06 Feb 2023
Optimal Algorithms for Latent Bandits with Cluster Structure
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
S. Pal
A. Suggala
Karthikeyan Shanmugam
Prateek Jain
405
12
0
17 Jan 2023
Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization
Deguang Kong
K. Shmakov
Jian Yang
155
0
0
26 Dec 2022
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
International Conference on Machine Learning (ICML), 2022
Shibo Li
Michael Penwarden
Yiming Xu
Conor Tillinghast
Akil Narayan
Robert M. Kirby
Shandian Zhe
AI4CE
267
6
0
23 Oct 2022
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
Asian Conference on Machine Learning (ACML), 2022
A. Chaudhuri
Pratik Jawanpuria
Bamdev Mishra
380
3
0
04 Oct 2022
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Lingzhi Wang
Shafiq Joty
Wei Gao
Xingshan Zeng
Kam-Fai Wong
215
19
0
23 Sep 2022
A Scalable Recommendation Engine for New Users and Items
Social Science Research Network (SSRN), 2022
Boya Xu
Yiting Deng
C. Mela
282
2
0
06 Sep 2022
Federated Online Clustering of Bandits
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Xutong Liu
Haoruo Zhao
Tong Yu
Shuai Li
John C. S. Lui
FedML
214
17
0
31 Aug 2022
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation
Shion Ishikawa
Young-joo Chung
Yuya Hirate
125
2
0
25 Aug 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Neural Information Processing Systems (NeurIPS), 2022
Jiafan He
Tianhao Wang
Yifei Min
Quanquan Gu
FedML
293
41
0
07 Jul 2022
Neural Bandit with Arm Group Graph
Knowledge Discovery and Data Mining (KDD), 2022
Yunzhe Qi
Yikun Ban
Jingrui He
251
13
0
08 Jun 2022
Pessimistic Off-Policy Optimization for Learning to Rank
European Conference on Artificial Intelligence (ECAI), 2022
Matej Cief
Branislav Kveton
Michal Kompan
OffRL
345
3
0
06 Jun 2022
Optimal Clustering with Bandit Feedback
Journal of machine learning research (JMLR), 2022
Junwen Yang
Zixin Zhong
Vincent Y. F. Tan
230
22
0
09 Feb 2022
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
AAAI Conference on Artificial Intelligence (AAAI), 2022
Hao Wang
Yifei Ma
Hao Ding
Yuyang Wang
460
6
0
01 Feb 2022
Neural Collaborative Filtering Bandits via Meta Learning
Yikun Ban
Yunzhe Qi
Tianxin Wei
Jingrui He
OffRL
217
9
0
31 Jan 2022
Hierarchical Bayesian Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Joey Hong
Branislav Kveton
Manzil Zaheer
Mohammad Ghavamzadeh
FedML
325
44
0
12 Nov 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Mengqi Zhang
Shu Wu
Liang Wang
281
80
0
01 Nov 2021
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
Han Zhong
Jiayi Huang
Lin F. Yang
Liwei Wang
177
11
0
26 Oct 2021
Towards the D-Optimal Online Experiment Design for Recommender Selection
Knowledge Discovery and Data Mining (KDD), 2021
Madina Abdrakhmanova
Saniya Abushakimova
Evren Körpeoglu
H. A. Varol
Kannan Achan
284
3
0
23 Oct 2021
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models
Lingzhi Wang
Huang Hu
Lei Sha
Can Xu
Kam-Fai Wong
Daxin Jiang
201
31
0
14 Oct 2021
Deconfounded Causal Collaborative Filtering
Shuyuan Xu
Juntao Tan
Shelby Heinecke
Jia Li
Zelong Li
CML
349
45
0
14 Oct 2021
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Yikun Ban
Yuchen Yan
A. Banerjee
Jingrui He
OffRL
633
57
0
07 Oct 2021
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
Chuanhao Li
Hongning Wang
FedML
208
43
0
04 Oct 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Neural Information Processing Systems (NeurIPS), 2021
Runzhe Wan
Linjuan Ge
Rui Song
254
31
0
13 Aug 2021
Bandit Algorithms for Precision Medicine
Yangyi Lu
Ziping Xu
Ambuj Tewari
270
16
0
10 Aug 2021
Convolutional Neural Bandit for Visual-aware Recommendation
Yikun Ban
Jingrui He
171
1
0
02 Jul 2021
On Limited-Memory Subsampling Strategies for Bandits
International Conference on Machine Learning (ICML), 2021
Dorian Baudry
Yoan Russac
Olivier Cappé
275
8
0
21 Jun 2021
Multi-facet Contextual Bandits: A Neural Network Perspective
Knowledge Discovery and Data Mining (KDD), 2021
Yikun Ban
Jingrui He
C. Cook
404
30
0
06 Jun 2021
Kolmogorov-Smirnov Test-Based Actively-Adaptive Thompson Sampling for Non-Stationary Bandits
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Gourab Ghatak
Hardhik Mohanty
Aniq Ur Rahman
TTA
391
11
0
30 May 2021
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
Data mining and knowledge discovery (DMKD), 2021
Simen Eide
David S. Leslie
A. Frigessi
BDL
OffRL
249
13
0
30 Apr 2021
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Chuanhao Li
Qingyun Wu
Hongning Wang
185
6
0
14 Apr 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Martin Mladenov
Chih-Wei Hsu
Vihan Jain
Eugene Ie
Christopher Colby
Nicolas Mayoraz
H. Pham
Dustin Tran
Ivan Vendrov
Craig Boutilier
BDL
201
37
0
14 Mar 2021
Local Clustering in Contextual Multi-Armed Bandits
The Web Conference (WWW), 2021
Yikun Ban
Jingrui He
502
49
0
26 Feb 2021
Automatic Historical Feature Generation through Tree-based Method in Ads Prediction
Hongjian Wang
Qi Li
Lanbo Zhang
Yue Lu
Steven Yoo
Srinivas Vadrevu
Ruoyao Xiao
69
1
0
31 Dec 2020
One-bit feedback is sufficient for upper confidence bound policies
Daniel Vial
Sanjay Shakkottai
R. Srikant
204
2
0
04 Dec 2020
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Zhi Wang
Chicheng Zhang
Manish Singh
L. Riek
Kamalika Chaudhuri
443
26
0
29 Oct 2020
A Practical Guide of Off-Policy Evaluation for Bandit Problems
Masahiro Kato
Kenshi Abe
Kaito Ariu
Shota Yasui
OffRL
188
3
0
23 Oct 2020
Regret in Online Recommendation Systems
Neural Information Processing Systems (NeurIPS), 2020
Kaito Ariu
Narae Ryu
Seyoung Yun
Alexandre Proutiere
180
6
0
23 Oct 2020
Thresholded Lasso Bandit
Kaito Ariu
Kenshi Abe
Alexandre Proutiere
366
20
0
22 Oct 2020
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