Bandits and Experts in Metric Spaces

4 December 2013

Papers citing "Bandits and Experts in Metric Spaces"

28 / 28 papers shown

Title
Bandit Optimal Transport Lorenzo Croissant 82 0 0 11 Feb 2025
Biased Dueling Bandits with Stochastic Delayed Feedback Bongsoo Yi Yue Kang Yao Li 38 1 0 26 Aug 2024
On Bits and Bandits: Quantifying the Regret-Information Trade-off Itai Shufaro Nadav Merlis Nir Weinberger Shie Mannor 38 0 0 26 May 2024
Causally Abstracted Multi-armed Bandits Fabio Massimo Zennaro Nicholas Bishop Joel Dyer Yorgos Felekis Anisoara Calinescu Michael Wooldridge Theodoros Damoulas 38 2 0 26 Apr 2024
Robust Lipschitz Bandits to Adversarial Corruptions Yue Kang Cho-Jui Hsieh T. C. Lee AAML 30 8 0 29 May 2023
Repeated Bilateral Trade Against a Smoothed Adversary Nicolò Cesa-Bianchi Tommaso Cesari Roberto Colomboni Federico Fusco S. Leonardi 36 16 0 21 Feb 2023
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient Dylan J. Foster Noah Golowich Yanjun Han OffRL 28 29 0 19 Jan 2023
Invariant Lipschitz Bandits: A Side Observation Approach Nam-Phuong Tran Long Tran-Thanh 47 1 0 14 Dec 2022
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits Siddhartha Banerjee Sean R. Sinclair Milind Tambe Lily Xu Chao Yu AI4TS 31 6 0 30 Sep 2022
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem Raunak Kumar Robert D. Kleinberg 23 13 0 24 Sep 2022
Autonomous Drug Design with Multi-Armed Bandits Hampus Gummesson Svensson E. Bjerrum C. Tyrchan O. Engkvist M. Chehreghani 32 5 0 04 Jul 2022
Instance-Dependent Regret Analysis of Kernelized Bandits S. Shekhar T. Javidi 27 3 0 12 Mar 2022
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network Yun-Da Tsai Shou-De Lin 46 5 0 17 Feb 2022
Deep Hierarchy in Bandits Joey Hong B. Kveton S. Katariya Manzil Zaheer Mohammad Ghavamzadeh 33 20 0 03 Feb 2022
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 40 15 0 29 Oct 2021
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations S. P. Parambath Christos Anagnostopoulos R. Murray-Smith Sean MacAvaney E. Zervas 30 5 0 31 Aug 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization Marco Rando Luigi Carratino S. Villa Lorenzo Rosasco 44 5 0 16 Jun 2021
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security Lily Xu Elizabeth Bondi-Kelly Fei Fang Andrew Perrault Kai Wang Milind Tambe 21 44 0 14 Sep 2020
Adaptive Discretization for Model-Based Reinforcement Learning Sean R. Sinclair Tianyu Wang Gauri Jain Siddhartha Banerjee Chao Yu OffRL 19 21 0 01 Jul 2020
Adaptive Discretization for Adversarial Lipschitz Bandits Chara Podimata Aleksandrs Slivkins 12 16 0 22 Jun 2020
Efficient Contextual Bandits with Continuous Actions Maryam Majzoubi Chicheng Zhang Rajan Chari A. Krishnamurthy John Langford Aleksandrs Slivkins OffRL 29 32 0 10 Jun 2020
Optimal Contextual Pricing and Extensions Allen Liu R. Leme Jon Schneider 29 1 0 03 Mar 2020
Learning to Scaffold the Development of Robotic Manipulation Skills Lin Shao Toki Migimatsu Jeannette Bohg 13 29 0 03 Nov 2019
Polynomial Cost of Adaptation for X -Armed Bandits Hédi Hadiji 23 11 0 24 May 2019
Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting A. Krishnamurthy John Langford Aleksandrs Slivkins Chicheng Zhang OffRL 26 66 0 05 Feb 2019
Exploiting Class Learnability in Noisy Data Matthew Klawonn Eric Heim James A. Hendler NoLa 25 7 0 15 Nov 2018
Recursive Exponential Weighting for Online Non-convex Optimization L. Yang Cheng Tan W. Wong 9 2 0 13 Sep 2017
Combinatorial Semi-Bandits with Knapsacks Karthik Abinav Sankararaman Aleksandrs Slivkins 30 48 0 23 May 2017