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
Wasserstein Barycenter Gaussian Process based Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 22 0 0 18 May 2025
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities Yunchuan Zhang Osvaldo Simeone H. Vincent Poor 32 0 0 16 May 2025
Safety and optimality in learning-based control at low computational cost Dominik Baumann Krzysztof Kowalczyk Cristian R. Rojas K. Tiels Pawel Wachel 36 0 0 12 May 2025
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics Manish Prajapat Johannes Köhler Amon Lahr Andreas Krause Melanie Zeilinger 38 0 0 12 May 2025
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization Hui Chen Xuhui Fan Zhangkai Wu Longbing Cao LLMAG 47 0 0 28 Apr 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 113 0 0 02 Apr 2025
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context F. Micheli Efe C. Balta Anastasios Tsiamis John Lygeros 58 0 0 26 Mar 2025
Safe exploration in reproducing kernel Hilbert spaces Abdullah Tokmak Kiran G. Krishnan Thomas B. Schon Dominik Baumann 44 0 0 13 Mar 2025
( $\boldsymbolθ_l, \boldsymbolθ_u$ )-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces Tingyang Wei Jiao Liu Abhishek Gupta Puay Siew Tan Yew-Soon Ong 61 0 0 11 Mar 2025
Bayesian Optimization for Robust Identification of Ornstein-Uhlenbeck Model Jinwen Xu Qin Lu Yaakov Bar-Shalom 66 0 0 09 Mar 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization Toby Boyne Jose Pablo Folch Robert M. Lee B. Shafei Ruth Misener GP 69 0 0 07 Mar 2025
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do? Anastasia S. Georgiou Daniel Jungen Luise F. Kaven Verena Hunstig Constantine Frangakis Ioannis G. Kevrekidis Alexander Mitsos 51 0 0 05 Mar 2025
Koopman-Equivariant Gaussian Processes Petar Bevanda Max Beier Armin Lederer A. Capone Stefan Sosnowski Sandra Hirche AI4TS 68 2 0 10 Feb 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions Cen-You Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 264 0 0 26 Jan 2025
Predicting the Reliability of an Image Classifier under Image Distortion D. Nguyen Sunil Gupta Kien Do Svetha Venkatesh VLM 83 0 0 22 Dec 2024
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Quoc-Anh Hoang Nguyen The Hung Tran 95 1 0 21 Dec 2024
Indirect Query Bayesian Optimization with Integrated Feedback Mengyan Zhang S. Bouabid Cheng Soon Ong Seth Flaxman Dino Sejdinovic 86 0 0 18 Dec 2024
Monte Carlo Tree Search based Space Transfer for Black-box Optimization Shukuan Wang Ke Xue Lei Song Xiaobin Huang Chao Qian 68 1 0 10 Dec 2024
Vector Optimization with Gaussian Process Bandits İlter Onat Korkmaz Yaşar Cahit Yıldırım Çağın Ararat Cem Tekin 86 0 0 03 Dec 2024
Robotic Control Optimization Through Kernel Selection in Safe Bayesian Optimization Lihao Zheng Hongxuan Wang Xiaocong Li Jun Ma P. Vadakkepat 23 1 0 12 Nov 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 245 0 0 06 Nov 2024
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation Yilin Xie Shiqiang Zhang J. Paulson Calvin Tsay 33 5 0 22 Oct 2024
Principled Bayesian Optimisation in Collaboration with Human Experts Wenjie Xu Masaki Adachi Colin N. Jones Michael A. Osborne 44 2 0 14 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 38 1 0 12 Oct 2024
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator Eugenio Lomurno Samuele Mariani Matteo Monti Matteo Matteucci DiffM 31 2 0 30 Sep 2024
PACSBO: Probably approximately correct safe Bayesian optimization Abdullah Tokmak Thomas B. Schon Dominik Baumann 42 2 0 02 Sep 2024
Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration David Molina Concha Jiping Li Haoran Yin Kyeonghyeon Park Hyun-Rok Lee Taesik Lee Dhruv Sirohi Chi-Guhn Lee 39 1 0 21 Aug 2024
Algorithmic Contract Design with Reinforcement Learning Agents David Molina Concha Kyeonghyeon Park Hyun-Rok Lee Taesik Lee Chi-Guhn Lee 24 1 0 19 Aug 2024
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification Robert Reed Luca Laurenti Morteza Lahijanian 21 2 0 16 Aug 2024
Reciprocal Learning Julian Rodemann Christoph Jansen G. Schollmeyer FedML 47 0 0 12 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 60 0 0 08 Aug 2024
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems Markus Grimm Sébastien Paul Pierre Chainais 47 0 0 05 Aug 2024
Batch Active Learning in Gaussian Process Regression using Derivatives Hon Sum Alec Yu Christoph Zimmer D. Nguyen-Tuong GP 31 1 0 03 Aug 2024
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 43 0 0 27 Jul 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 65 0 0 24 Jun 2024
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B Di Zhang Xiaoshui Huang Dongzhan Zhou Yuqiang Li Wanli Ouyang LRM 49 56 0 11 Jun 2024
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation Jason Shuo Zhang Benjamin Howson Panayiota Savva Eleanor Loh 21 0 0 10 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 49 4 0 07 Jun 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints Arpan Losalka Jonathan Scarlett 41 2 0 05 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
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization Anthony Bardou Patrick Thiran Giovanni Ranieri 45 1 0 23 May 2024
Retrieval-Augmented Mining of Temporal Logic Specifications from Data Gaia Saveri Luca Bortolussi 38 0 0 23 May 2024
Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes Samuel Tesfazgi Markus Kessler Emilio Trigili Armin Lederer Sandra Hirche 18 0 0 14 May 2024
Batched Stochastic Bandit for Nondegenerate Functions Yu Liu Yunlu Shu Tianyu Wang 54 0 0 09 May 2024
Data-Driven Permissible Safe Control with Barrier Certificates Rayan Mazouz John Skovbekk Frederik Baymler Mathiesen Eric Frew Luca Laurenti Morteza Lahijanian 31 1 0 30 Apr 2024
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process Kevin S. Miller Adam J. Thorpe Ufuk Topcu 31 0 0 25 Mar 2024
Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models Dayi Li Ziang Zhang TPM 19 0 0 18 Mar 2024
Leveraging Simulation-Based Model Preconditions for Fast Action Parameter Optimization with Multiple Models M. Yunus Seker Oliver Kroemer AI4CE 32 0 0 17 Mar 2024
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search Yunchuan Zhang Sangwoo Park Osvaldo Simeone 48 5 0 14 Mar 2024
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR Yasunori Taguchi H. Gangi 27 0 0 13 Mar 2024