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Low-Rank Generalized Linear Bandit Problems

4 June 2020

Papers citing "Low-Rank Generalized Linear Bandit Problems"

39 / 39 papers shown

Title
A Classification View on Meta Learning Bandits Mirco Mutti Jeongyeol Kwon Shie Mannor Aviv Tamar 91 0 0 06 Apr 2025
Targeted Advertising on Social Networks Using Online Variational Tensor Regression Tsuyoshi Idé K. Murugesan Djallel Bouneffouf Naoki Abe 74 6 0 28 Jan 2025
A Complete Characterization of Learnability for Stochastic Noisy Bandits Steve Hanneke Kun Wang 169 1 0 20 Jan 2025
A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits Jiannan Li Yiyang Yang Shaojie Tang Yao Wang 235 0 0 18 Jan 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 99 4 0 08 Jan 2025
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker Lu Mi Marton Rozsa Matthew S. Bull Karel Svoboda Kayvon Daie Matthew D. Golub Kevin Jamieson 258 0 0 03 Dec 2024
Online Matrix Completion: A Collaborative Approach with Hott Items Dheeraj Baby S. Pal 74 0 0 11 Aug 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 245 2 0 07 Jun 2024
Low-rank Matrix Bandits with Heavy-tailed Rewards Yue Kang Cho-Jui Hsieh T. C. Lee 34 2 0 26 Apr 2024
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits Kyoungseok Jang Chicheng Zhang Kwang-Sung Jun 91 2 0 17 Feb 2024
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems Yue Kang Cho-Jui Hsieh T. C. Lee 121 19 0 14 Jan 2024
Efficient Generalized Low-Rank Tensor Contextual Bandits Qianxin Yi Yiyang Yang Shaojie Tang Jiapeng Liu Yao Wang 36 0 0 03 Nov 2023
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna Robert D. Nowak 121 6 0 01 Nov 2023
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning Stefan Stojanovic Yassir Jedra Alexandre Proutière 61 5 0 10 Oct 2023
Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing Junhui Cai Ran Chen Martin J. Wainwright Linda H. Zhao 78 4 0 14 Sep 2023
Context-lumpable stochastic bandits Chung-Wei Lee Qinghua Liu Yasin Abbasi-Yadkori Chi Jin Tor Lattimore Csaba Szepesvári OffRL 149 2 0 22 Jun 2023
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms Qian-long Yu Yining Wang Baihe Huang Qi Lei Jason D. Lee 380 3 0 21 Jun 2023
On High-dimensional and Low-rank Tensor Bandits Chengshuai Shi Cong Shen N. Sidiropoulos 76 2 0 06 May 2023
Adversarial Online Collaborative Filtering Stephen Pasteris Fabio Vitale Mark Herbster Claudio Gentile Andre' Panisson 87 0 0 11 Feb 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 99 4 0 09 Feb 2023
Optimal Algorithms for Latent Bandits with Cluster Structure S. Pal A. Suggala Karthikeyan Shanmugam Prateek Jain 94 9 0 17 Jan 2023
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets Yigit Efe Erginbas Soham R. Phade Kannan Ramchandran 116 1 0 13 Dec 2022
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure Alessio Russo Alexandre Proutiere 71 3 0 28 Nov 2022
Always Valid Risk Monitoring for Online Matrix Completion ChiHua Wang Wenjie Li CLL 77 1 0 18 Nov 2022
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration and Planning Reda Ouhamma D. Basu Odalric-Ambrym Maillard OffRL 80 12 0 05 Oct 2022
Online Low Rank Matrix Completion Prateek Jain S. Pal 83 9 0 08 Sep 2022
A Scalable Recommendation Engine for New Users and Items Boya Xu Yiting Deng C. Mela 73 2 0 06 Sep 2022
Interactive Recommendations for Optimal Allocations in Markets with Constraints Yigit Efe Erginbas Soham R. Phade Kannan Ramchandran 96 2 0 08 Jul 2022
Adaptive Sampling for Discovery Ziping Xu Eunjae Shim Ambuj Tewari Paul M. Zimmerman OffRL 54 5 0 30 May 2022
Representation Learning for Context-Dependent Decision-Making Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti 64 3 0 12 May 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 88 16 0 29 Mar 2022
Multi-task Representation Learning with Stochastic Linear Bandits Leonardo Cella Karim Lounici Grégoire Pacreau Massimiliano Pontil 87 22 0 21 Feb 2022
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 111 14 0 10 Aug 2021
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization Baihe Huang Kaixuan Huang Sham Kakade Jason D. Lee Qi Lei Runzhe Wang Jiaqi Yang 414 17 0 09 Jul 2021
Bandit Phase Retrieval Tor Lattimore Botao Hao 80 13 0 03 Jun 2021
A Simple Unified Framework for High Dimensional Bandit Problems Wenjie Li Adarsh Barik Jean Honorio 129 25 0 18 Feb 2021
Near-optimal Representation Learning for Linear Bandits and Linear RL Jiachen Hu Xiaoyu Chen Chi Jin Lihong Li Liwei Wang OffRL 165 53 0 08 Feb 2021
Impact of Representation Learning in Linear Bandits Jiaqi Yang Wei Hu Jason D. Lee S. Du 97 53 0 13 Oct 2020
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making Jie Zhou Botao Hao Zheng Wen Jingfei Zhang W. Sun 103 6 0 31 Jul 2020