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1901.02470
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Bilinear Bandits with Low-rank Structure
8 January 2019
Kwang-Sung Jun
Rebecca Willett
S. Wright
Robert D. Nowak
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Papers citing
"Bilinear Bandits with Low-rank Structure"
35 / 35 papers shown
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Generalized Low-Rank Matrix Contextual Bandits with Graph Information
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A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
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18 Jan 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
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Shana Moothedath
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08 Jan 2025
Active learning of neural population dynamics using two-photon holographic optogenetics
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Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization
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Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
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Robert D. Nowak
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07 Jun 2024
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
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346
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17 Feb 2024
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems
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Cho-Jui Hsieh
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14 Jan 2024
Efficient Generalized Low-Rank Tensor Contextual Bandits
Qianxin Yi
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320
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03 Nov 2023
On High-dimensional and Low-rank Tensor Bandits
International Symposium on Information Theory (ISIT), 2023
Chengshuai Shi
Cong Shen
N. Sidiropoulos
238
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06 May 2023
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits
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Cho-Jui Hsieh
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387
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18 Feb 2023
Adversarial Online Collaborative Filtering
International Conference on Algorithmic Learning Theory (ALT), 2023
Stephen Pasteris
Fabio Vitale
Mark Herbster
Claudio Gentile
Andre' Panisson
449
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11 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
467
12
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17 Jan 2023
Online Low Rank Matrix Completion
International Conference on Learning Representations (ICLR), 2022
Prateek Jain
S. Pal
357
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0
08 Sep 2022
An
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Neural Information Processing Systems (NeurIPS), 2022
Geovani Rizk
Igor Colin
Albert Thomas
R. Laraki
Y. Chevaleyre
353
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01 Jun 2022
Representation Learning for Context-Dependent Decision-Making
American Control Conference (ACC), 2022
Yuzhen Qin
Tommaso Menara
Samet Oymak
ShiNung Ching
Fabio Pasqualetti
196
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12 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
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Qi Lei
Jason D. Lee
S. Du
348
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29 Mar 2022
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
AAAI Conference on Artificial Intelligence (AAAI), 2022
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Yifei Ma
Hao Ding
Yuyang Wang
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Learning to Schedule in Parallel-Server Queues with Stochastic Bilinear Rewards
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Milan Vojnović
355
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Franklyn Wang
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Multi-armed Bandit Algorithm against Strategic Replication
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Suho Shin
Seungjoon Lee
Jungseul Ok
160
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Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Neural Information Processing Systems (NeurIPS), 2021
Baihe Huang
Kaixuan Huang
Sham Kakade
Jason D. Lee
Qi Lei
Runzhe Wang
Jiaqi Yang
605
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09 Jul 2021
Bandit Phase Retrieval
Neural Information Processing Systems (NeurIPS), 2021
Tor Lattimore
Botao Hao
190
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Near-optimal Representation Learning for Linear Bandits and Linear RL
International Conference on Machine Learning (ICML), 2021
Jiachen Hu
Xiaoyu Chen
Chi Jin
Lihong Li
Liwei Wang
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396
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08 Feb 2021
Learning User Preferences in Non-Stationary Environments
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Wasim Huleihel
S. Pal
O. Shayevitz
332
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29 Jan 2021
Regret in Online Recommendation Systems
Neural Information Processing Systems (NeurIPS), 2020
Kaito Ariu
Narae Ryu
Seyoung Yun
Alexandre Proutiere
212
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23 Oct 2020
Impact of Representation Learning in Linear Bandits
Jiaqi Yang
Wei Hu
Jason D. Lee
S. Du
340
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Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making
Journal of the American Statistical Association (JASA), 2020
Jie Zhou
Botao Hao
Zheng Wen
Jingfei Zhang
W. Sun
373
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31 Jul 2020
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
International Conference on Machine Learning (ICML), 2020
Tong Yu
Branislav Kveton
Zheng Wen
Ruiyi Zhang
Ole J. Mengshoel
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297
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09 Jul 2020
Low-Rank Generalized Linear Bandit Problems
Yangyi Lu
A. Meisami
Ambuj Tewari
521
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An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Annals of Statistics (Ann. Stat.), 2020
Rungang Han
Rebecca Willett
Anru R. Zhang
453
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26 Feb 2020
Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling
International Conference on Algorithmic Learning Theory (ALT), 2019
Cindy Trinh
E. Kaufmann
Claire Vernade
Richard Combes
179
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0
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Bandit Principal Component Analysis
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Gergely Neu
213
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