On Kernelized Multi-armed Bandits

3 April 2017

Papers citing "On Kernelized Multi-armed Bandits"

50 / 114 papers shown

Title
Prompt Optimization with Logged Bandit Data Haruka Kiyohara Daniel Yiming Cao Yuta Saito Thorsten Joachims 64 0 0 03 Apr 2025
Bandit Optimal Transport Lorenzo Croissant 82 0 0 11 Feb 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie Raul Astudillo P. Frazier Ziv Scully Alexander Terenin 92 2 0 17 Jan 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 206 0 0 06 Nov 2024
Towards safe Bayesian optimization with Wiener kernel regression O. Molodchyk Johannes Teutsch T. Faulwasser 31 0 0 04 Nov 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 114 2 0 29 Oct 2024
Lower Bounds for Time-Varying Kernelized Bandits Xu Cai Jonathan Scarlett 36 0 0 22 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework Manish Prajapat Amon Lahr Johannes Köhler Andreas Krause Melanie Zeilinger 29 2 0 13 Sep 2024
Variational Search Distributions Daniel M. Steinberg Rafael Oliveira Cheng Soon Ong Edwin V. Bonilla 35 0 0 10 Sep 2024
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting Gianmarco Genalti Marco Mussi Nicola Gatti Marcello Restelli Matteo Castiglioni Alberto Maria Metelli 38 0 0 09 Sep 2024
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 37 2 0 02 Sep 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning Yen-Ru Lai Fu-Chieh Chang Pei-Yuan Wu OffRL 81 1 0 22 Aug 2024
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback Arun Verma Zhongxiang Dai Xiaoqiang Lin Patrick Jaillet K. H. Low 37 5 0 24 Jul 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 33 4 0 19 Jul 2024
Meta-Analysis with Untrusted Data Shiva Kaul Geoffrey J. Gordon CML 32 1 0 12 Jul 2024
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret Hongyu Zhou Vasileios Tzoumas 93 4 0 04 Jul 2024
Graph Neural Thompson Sampling Shuang Wu Arash A. Amini 51 0 0 15 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 84 2 0 07 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 41 0 0 03 Jun 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations Yao Shu Jiongfeng Fang Y. He Fei Richard Yu 35 0 0 18 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 45 1 0 13 Feb 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC Zeji Yi Yunyue Wei Chu Xin Cheng Kaibo He Yanan Sui 30 5 0 05 Jan 2024
Towards Safe Multi-Task Bayesian Optimization Jannis O. Lübsen Christian Hespe Annika Eichler 29 3 0 12 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems Jason J. Choi F. Castañeda Wonsuhk Jung Bike Zhang Claire J. Tomlin Koushil Sreenath 37 3 0 23 Nov 2023
Adaptive Interventions with User-Defined Goals for Health Behavior Change Aishwarya Mandyam Matthew Joerke William Denton Barbara E. Engelhardt Emma Brunskill 32 1 0 16 Nov 2023
Exact Inference for Continuous-Time Gaussian Process Dynamics K. Ensinger Nicholas Tagliapietra Sebastian Ziesche Sebastian Trimpe 29 1 0 05 Sep 2023
Online Network Source Optimization with Graph-Kernel MAB Laura Toni P. Frossard 26 1 0 07 Jul 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 36 6 0 07 Jun 2023
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism Zihao Li Zhuoran Yang Mengdi Wang OffRL 37 55 0 29 May 2023
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning X. Dai Armin Lederer Zewen Yang Sandra Hirche 38 13 0 14 May 2023
BO-Muse: A human expert and AI teaming framework for accelerated experimental design Sunil R. Gupta A. Shilton V. ArunKumarA. S. Ryan Majid Abdolshah Hung Le Santu Rana Julian Berk Mahad Rashid Svetha Venkatesh 42 7 0 03 Mar 2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss Bhavya Sukhija Tobias Birchler Parnian Kassraie Andreas Krause OffRL 21 10 0 02 Mar 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang R. Arora OffRL 46 5 0 24 Feb 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws Kush S. Bhatia Wenshuo Guo Jacob Steinhardt 27 0 0 23 Feb 2023
Sharp Calibrated Gaussian Processes A. Capone Geoff Pleiss Sandra Hirche UQCV 42 4 0 23 Feb 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 30 13 0 03 Feb 2023
Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh Fu-Chieh Chang Chang-Wei Yueh Pei-Yuan Wu A. Bernacchia Sattar Vakili OffRL 30 4 0 01 Feb 2023
Contextual Causal Bayesian Optimisation Vahan Arsenyan Antoine Grosnit Haitham Bou-Ammar CML 38 2 0 29 Jan 2023
(Private) Kernelized Bandits with Distributed Biased Feedback Fengjiao Li Xingyu Zhou Bo Ji 33 5 0 28 Jan 2023
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data Prithvi Akella Skylar X. Wei J. W. Burdick Aaron D. Ames 32 4 0 12 Dec 2022
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 31 13 0 09 Dec 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints Heng Guo Qi Zhu Xin Liu 29 11 0 27 Nov 2022
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 25 7 0 21 Nov 2022
Safe Optimization of an Industrial Refrigeration Process Using an Adaptive and Explorative Framework Buse Sibel Korkmaz Marta Zagórowska Mehmet Mercangöz AI4CE 22 3 0 21 Nov 2022
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm Buse Sibel Korkmaz Marta Zagórowska Mehmet Mercangöz 30 2 0 10 Nov 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic 16 12 0 14 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta Melanie Zeilinger Andreas Krause 35 14 0 12 Oct 2022
Game-theoretic statistics and safe anytime-valid inference Aaditya Ramdas Peter Grünwald V. Vovk Glenn Shafer 40 119 0 04 Oct 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 44 7 0 22 Sep 2022