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Pure Exploration in Kernel and Neural Bandits

22 June 2021

Quanquan Gu

Papers citing "Pure Exploration in Kernel and Neural Bandits"

24 / 24 papers shown

Title
Adapting to Misspecification in Contextual Bandits Dylan J. Foster Claudio Gentile M. Mohri Julian Zimmert 112 87 0 12 Jul 2021
High-Dimensional Experimental Design and Kernel Bandits Romain Camilleri Julian Katz-Samuels Kevin Jamieson 64 57 0 12 May 2021
Neural Thompson Sampling Weitong Zhang Dongruo Zhou Lihong Li Quanquan Gu 77 122 0 02 Oct 2020
Gamification of Pure Exploration for Linear Bandits Rémy Degenne Pierre Ménard Xuedong Shang Michal Valko 83 80 0 02 Jul 2020
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits Julian Katz-Samuels Lalit P. Jain Zohar Karnin Kevin Jamieson 174 68 0 21 Jun 2020
Learning with Good Feature Representations in Bandits and in RL with a Generative Model Tor Lattimore Csaba Szepesvári Gellert Weisz OffRL 181 171 0 18 Nov 2019
Sequential Experimental Design for Transductive Linear Bandits Tanner Fiez Lalit P. Jain Kevin Jamieson Lillian J. Ratliff 77 109 0 20 Jun 2019
The True Sample Complexity of Identifying Good Arms Julian Katz-Samuels Kevin Jamieson 135 42 0 15 Jun 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks Yuan Cao Quanquan Gu MLT AI4CE 105 391 0 30 May 2019
Best Arm Identification in Generalized Linear Bandits Abbas Kazerouni L. Wein 54 30 0 20 May 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 246 928 0 26 Apr 2019
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption Peter L. Bartlett Victor Gabillon Michal Valko 38 33 0 01 Oct 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 284 3,225 0 20 Jun 2018
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach Zeyuan Allen-Zhu Yuanzhi Li Aarti Singh Yining Wang 68 59 0 14 Nov 2017
Good Arm Identification via Bandit Feedback H. Kano Junya Honda Kentaro Sakamaki Kentaro Matsuura Atsuyoshi Nakamura Masashi Sugiyama 52 43 0 17 Oct 2017
Fully adaptive algorithm for pure exploration in linear bandits Liyuan Xu Junya Honda Masashi Sugiyama 61 86 0 16 Oct 2017
A KL-LUCB Bandit Algorithm for Large-Scale Crowdsourcing Bob Mankoff Robert D. Nowak Ervin Tánczos 30 5 0 11 Sep 2017
Misspecified Linear Bandits Avishek Ghosh Sayak Ray Chowdhury Aditya Gopalan 70 67 0 23 Apr 2017
Optimal Best Arm Identification with Fixed Confidence Aurélien Garivier E. Kaufmann 156 346 0 15 Feb 2016
On the Optimal Sample Complexity for Best Arm Identification Lijie Chen Jian Li 92 60 0 12 Nov 2015
Best-Arm Identification in Linear Bandits Marta Soare A. Lazaric Rémi Munos 85 182 0 22 Sep 2014
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models E. Kaufmann Olivier Cappé Aurélien Garivier 209 1,028 0 16 Jul 2014
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin Jamieson Matthew Malloy Robert D. Nowak Sébastien Bubeck 84 417 0 27 Dec 2013
Finite-Time Analysis of Kernelised Contextual Bandits Michal Valko N. Korda Rémi Munos I. Flaounas N. Cristianini 193 275 0 26 Sep 2013