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
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls Harsh Vardhan David Hyde U. Timalsina Péter Völgyesi J. Sztipanovits AI4CE 32 5 0 24 Apr 2023
Stochastic Cell Transmission Models of Traffic Networks Zachary Feinstein M. Kleiber Stefan Weber 11 1 0 23 Apr 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 48 15 0 21 Apr 2023
Active Cost-aware Labeling of Streaming Data Ti-jian Cai Kirthevasan Kandasamy 17 3 0 13 Apr 2023
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 32 3 0 12 Apr 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization Raul Astudillo Zhiyuan Jerry Lin E. Bakshy P. Frazier 31 14 0 28 Mar 2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing Kunal Jain J. PrabuchandranK. Tejas Bodas 35 2 0 21 Mar 2023
Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters Mingzhou Yin Roy S. Smith 28 0 0 17 Mar 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 44 7 0 03 Mar 2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss Bhavya Sukhija Tobias Birchler Parnian Kassraie Andreas Krause OffRL 31 10 0 02 Mar 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue Wen Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 54 2 0 01 Mar 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 47 4 0 23 Feb 2023
Search for universal minimum drag resistance underwater vehicle hull using CFD Harsh Vardhan J. Sztipanovits 16 9 0 18 Feb 2023
Effective Dimension in Bandit Problems under Censorship G. Guinet Saurabh Amin Patrick Jaillet 27 1 0 14 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 34 5 0 08 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 35 4 0 01 Feb 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? Juliusz Ziomek Haitham Bou-Ammar 50 22 0 30 Jan 2023
Intrinsic Bayesian Optimisation on Complex Constrained Domain Yuan Liu Mu Niu Claire Miller 13 0 0 29 Jan 2023
(Private) Kernelized Bandits with Distributed Biased Feedback Fengjiao Li Xingyu Zhou Bo Ji 38 5 0 28 Jan 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces Masaki Adachi Satoshi Hayakawa Saad Hamid Martin Jørgensen Harald Oberhauser M. A. Osborne 36 7 0 27 Jan 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 37 25 0 24 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 38 130 0 20 Jan 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 35 5 0 14 Jan 2023
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 41 6 0 28 Dec 2022
Gaussian Process Classification Bandits Tatsuya Hayashi N. Ito Koji Tabata Atsuyoshi Nakamura Katsumasa Fujita Yoshinori Harada T. Komatsuzaki GP 14 2 0 26 Dec 2022
Multi-Agent Dynamic Pricing in a Blockchain Protocol Using Gaussian Bandits Alexis Asseman Tomasz Kornuta Aniruth Patel Matt Deible Sam Green 19 0 0 13 Dec 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints Heng Guo Qi Zhu Xin Liu 34 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 32 7 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
Multi-Fidelity Cost-Aware Bayesian Optimization Zahra Zanjani Foumani Mehdi Shishehbor Amin Yousefpour Ramin Bostanabad 29 48 0 04 Nov 2022
Benefits of Monotonicity in Safe Exploration with Gaussian Processes Arpan Losalka Jonathan Scarlett 29 1 0 03 Nov 2022
Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai Sicun Gao 30 3 0 01 Nov 2022
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization Elvin Lo Pin-Yu Chen 42 0 0 27 Oct 2022
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 42 10 0 25 Oct 2022
Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings Diego Martinez-Taboada Dino Sejdinovic BDL 29 1 0 25 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
BORA: Bayesian Optimization for Resource Allocation Antonio Candelieri Andrea Ponti Francesco Archetti 13 0 0 12 Oct 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization Lei Song Ke Xue Xiaobin Huang Chaojun Qian 24 34 0 04 Oct 2022
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao Tairan He Changliu Liu 46 21 0 03 Oct 2022
Robust Bayesian optimization with reinforcement learned acquisition functions Zijing Liu Xiyao Qu Xuejun Liu Hongqiang Lyu 14 2 0 02 Oct 2022
A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems Andrea Gesmundo 31 2 0 29 Sep 2022
Adaptive and Collaborative Bathymetric Channel-Finding Approach for Multiple Autonomous Marine Vehicles Nikolai Gershfeld Tyler M. Paine M. Benjamin 37 3 0 20 Sep 2022
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization Wenjie Xu Yuning Jiang E. Maddalena Colin N. Jones 36 9 0 20 Sep 2022
A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing Ruofeng Wen Wenjun Zeng Yi Liu 26 0 0 08 Sep 2022
Computational design of antimicrobial active surfaces via automated Bayesian optimization Hanfeng Zhai J. Yeo AI4CE 6 7 0 31 Aug 2022
Bayesian Optimization-based Combinatorial Assignment Jakob Weissteiner Jakob Heiss Julien N. Siems Sven Seuken 38 10 0 31 Aug 2022
Neural Design for Genetic Perturbation Experiments Aldo Pacchiano Drausin Wulsin Robert A. Barton L. Voloch 34 4 0 26 Jul 2022
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference Debangshu Banerjee Avishek Ghosh Sayak Ray Chowdhury Aditya Gopalan 40 9 0 23 Jul 2022
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning Ilnura N. Usmanova Yarden As Maryam Kamgarpour Andreas Krause OffRL 19 10 0 21 Jul 2022