Information Directed Sampling for Sparse Linear Bandits

29 May 2021

Papers citing "Information Directed Sampling for Sparse Linear Bandits"

32 / 32 papers shown

Title
On Bits and Bandits: Quantifying the Regret-Information Trade-off Itai Shufaro Nadav Merlis Nir Weinberger Shie Mannor 143 0 0 26 May 2024
Reinforcement Learning, Bit by Bit Xiuyuan Lu Benjamin Van Roy Vikranth Dwaracherla M. Ibrahimi Ian Osband Zheng Wen 44 70 0 06 Mar 2021
Asymptotically Optimal Information-Directed Sampling Johannes Kirschner Tor Lattimore Claire Vernade Csaba Szepesvári 92 34 0 11 Nov 2020
High-Dimensional Sparse Linear Bandits Botao Hao Tor Lattimore Mengdi Wang 67 62 0 08 Nov 2020
Online Sparse Reinforcement Learning Botao Hao Tor Lattimore Csaba Szepesvári Mengdi Wang OffRL 67 29 0 08 Nov 2020
Mirror Descent and the Information Ratio Tor Lattimore András Gyorgy 38 42 0 25 Sep 2020
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection Yining Wang Yi Chen Ethan X. Fang Zhaoran Wang Runze Li 106 16 0 04 Sep 2020
Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits Zhimei Ren Zhengyuan Zhou 54 31 0 27 Aug 2020
Sparsity-Agnostic Lasso Bandit Min Hwan Oh G. Iyengar A. Zeevi 43 45 0 16 Jul 2020
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability D. Simchi-Levi Yunzong Xu OffRL 324 109 0 28 Mar 2020
Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner Tor Lattimore Andreas Krause 56 46 0 25 Feb 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles Dylan J. Foster Alexander Rakhlin 320 207 0 12 Feb 2020
Information-Theoretic Confidence Bounds for Reinforcement Learning Xiuyuan Lu Benjamin Van Roy 43 60 0 21 Nov 2019
An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng Xiao Zhang F. Liang Guang Lin BDL 105 44 0 23 Oct 2019
Adaptive Exploration in Linear Contextual Bandit Botao Hao Tor Lattimore Csaba Szepesvári 126 74 0 15 Oct 2019
Doubly-Robust Lasso Bandit Gi-Soo Kim M. Paik 53 62 0 26 Jul 2019
On the Performance of Thompson Sampling on Logistic Bandits Shi Dong Tengyu Ma Benjamin Van Roy 45 39 0 12 May 2019
First-Order Bayesian Regret Analysis of Thompson Sampling Sébastien Bubeck Mark Sellke 32 17 0 02 Feb 2019
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring Tor Lattimore Csaba Szepesvári 35 70 0 01 Feb 2019
An Information-Theoretic Analysis for Thompson Sampling with Many Actions Shi Dong Benjamin Van Roy 38 50 0 30 May 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise Johannes Kirschner Andreas Krause 48 122 0 29 Jan 2018
Information Directed Sampling for Stochastic Bandits with Graph Feedback Fang Liu Swapna Buccapatnam Ness B. Shroff 45 41 0 08 Nov 2017
Minimal Exploration in Structured Stochastic Bandits Richard Combes Stefan Magureanu Alexandre Proutiere 357 117 0 01 Nov 2017
Ensemble Sampling Xiuyuan Lu Benjamin Van Roy 113 119 0 20 May 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits Tor Lattimore Csaba Szepesvári 112 105 0 14 Oct 2016
Learning to Optimize via Information-Directed Sampling Daniel Russo Benjamin Van Roy 146 282 0 21 Mar 2014
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits Alekh Agarwal Daniel J. Hsu Satyen Kale John Langford Lihong Li Robert Schapire OffRL 340 507 0 04 Feb 2014
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 203 767 0 13 Jun 2013
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 181 699 0 11 Jan 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 180 997 0 15 Sep 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit Alexandra Carpentier Rémi Munos 72 102 0 18 May 2012
Linearly Parameterized Bandits Paat Rusmevichientong J. Tsitsiklis 340 558 0 18 Dec 2008