Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

21 December 2009

Papers citing "Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design"

50 / 617 papers shown

Title
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning Gilhyun Ryou Geoffrey Wang S. Karaman 61 3 0 13 Mar 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale J. Herbinger B. Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio 48 7 0 07 Mar 2024
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving Lei Zheng Rui Yang Zeng Peng Wei Yan Michael Yu Wang Jun Ma 47 2 0 07 Mar 2024
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models Yu Zhang Long Wen Xiangtong Yao Zhenshan Bing Linghuan Kong Wei He Alois Knoll 58 1 0 29 Feb 2024
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties V. ArunKumarA. A. Shilton Sunil R. Gupta Santu Rana S. Greenhill Svetha Venkatesh 21 4 0 27 Feb 2024
Streaming Gaussian Dirichlet Random Fields for Spatial Predictions of High Dimensional Categorical Observations J. E. S. Soucie H. Sosik Y. Girdhar BDL 42 0 0 23 Feb 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
Safe Guaranteed Exploration for Non-linear Systems Manish Prajapat Johannes Köhler M. Turchetta Andreas Krause Melanie Zeilinger 24 3 0 09 Feb 2024
Safe Active Learning for Time-Series Modeling with Gaussian Processes Christoph Zimmer Mona Meister D. Nguyen-Tuong AI4TS 33 52 0 09 Feb 2024
Principled Preferential Bayesian Optimization Wenjie Xu Wenbin Wang Yuning Jiang B. Svetozarevic Colin N. Jones 35 6 0 08 Feb 2024
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression Zewen Yang X. Dai Akshat Dubey Sandra Hirche Georges Hattab 23 10 0 05 Feb 2024
Poisson Process for Bayesian Optimization Xiaoxing Wang Jiaxing Li Chao Xue Wei Liu Weifeng Liu Xiaokang Yang Junchi Yan Dacheng Tao 37 1 0 05 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 41 17 0 03 Feb 2024
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization Jiao Liu Abhishek Gupta Yew-Soon Ong 36 0 0 22 Dec 2023
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang Lei Song Ke Xue Chao Qian 44 3 0 16 Dec 2023
Automatic nonlinear MPC approximation with closed-loop guarantees Abdullah Tokmak Christian Fiedler Melanie Zeilinger Sebastian Trimpe Johannes Köhler 26 4 0 15 Dec 2023
Gaussian Process-Based Learning Control of Underactuated Balance Robots with an External and Internal Convertible Modeling Structure Feng Han Jingang Yi 27 1 0 15 Dec 2023
Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach B. She Lei Xin Philip E. Paré Matthew T. Hale 21 0 0 14 Dec 2023
BOgen: Generating Part-Level 3D Designs Based on User Intention Inference through Bayesian Optimization and Variational Autoencoder Seung Won Lee Jiin Choi Kyung-Hoon Hyun 19 2 0 05 Dec 2023
Regret Optimality of GP-UCB Wenjia Wang Xiaowei Zhang Lu Zou 37 0 0 03 Dec 2023
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 52 12 0 24 Nov 2023
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates A. Capone Ryan K. Cosner Aaron D. Ames Sandra Hirche 6 2 0 03 Nov 2023
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression Harris Papadopoulos 37 11 0 24 Oct 2023
On Multi-Fidelity Impedance Tuning for Human-Robot Cooperative Manipulation Ethan Lau Vaibhav Srivastava S. Bopardikar 12 0 0 09 Oct 2023
Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 44 0 0 02 Oct 2023
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach Wenjie Xu B. Svetozarevic L. D. Natale P. Heer Colin N. Jones AI4CE 36 11 0 01 Oct 2023
Deterministic Langevin Unconstrained Optimization with Normalizing Flows James M. Sullivan U. Seljak 34 0 0 01 Oct 2023
Gaussian Process-Enhanced, External and Internal Convertible (EIC) Form-Based Control of Underactuated Balance Robots Feng Han Jingang Yi 17 2 0 27 Sep 2023
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure K. Hammar Neil Dhir CML 20 0 0 05 Sep 2023
Distributed multi-agent target search and tracking with Gaussian process and reinforcement learning Jigang Kim Dohyun Jang H. J. Kim 26 6 0 29 Aug 2023
Robust Bayesian Satisficing Artun Saday Yacsar Cahit Yildirim Cem Tekin 80 2 0 16 Aug 2023
Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes Parikshit Pareek Deepjyoti Deka Sidhant Misra 29 0 0 15 Aug 2023
Certified Multi-Fidelity Zeroth-Order Optimization Étienne de Montbrun Sébastien Gerchinovitz 19 1 0 02 Aug 2023
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy Zhenxiao Yin X. Dai Zewen Yang Yang-Wu Shen Georges Hattab Haiying Zhao 33 10 0 26 Jul 2023
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter Adam W. Hall Melissa Greeff Angela P. Schoellig 33 5 0 20 Jul 2023
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors Armin Lederer Jonas Umlauft Sandra Hirche 52 0 0 10 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 32 4 0 03 Jul 2023
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction Yunchuan Zhang Sangwoo Park Osvaldo Simeone 22 9 0 30 Jun 2023
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems E. Lee Bolong Cheng M. McCourt 19 0 0 23 Jun 2023
Safe Risk-averse Bayesian Optimization for Controller Tuning Christopher Koenig Miks Ozols Anastasia Makarova Efe C. Balta Andreas Krause Alisa Rupenyan 17 8 0 23 Jun 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 42 17 0 21 Jun 2023
Bayesian Optimization of Expensive Nested Grey-Box Functions Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 33 1 0 08 Jun 2023
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization Anthony Bardou Patrick Thiran Thomas Begin 26 4 0 31 May 2023
Optimization for truss design using Bayesian optimization Bhawani Sandeep Surjeet Singh Sumit Kumar 21 0 0 27 May 2023
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation Sukriti Singh Anusha Srikanthan Vivek Mallampati Harish Ravichandar 29 3 0 24 May 2023
Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli Ayush Bharti A. Tiihonen S. T. John Louis Filstroff Sabina J. Sloman Patrick Rinke Samuel Kaski 54 0 0 23 May 2023
Mastering the exploration-exploitation trade-off in Bayesian Optimization Antonio Candelieri 39 1 0 15 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 43 13 0 14 May 2023
Optimizing Hyperparameters with Conformal Quantile Regression David Salinas Jacek Golebiowski Aaron Klein Matthias Seeger Cédric Archambeau 29 8 0 05 May 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits Yusha Liu Aarti Singh 32 1 0 26 Apr 2023