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
Automated machine learning for borehole resistivity measurements M. Shahriari David Pardo S. Kargaran T. Teijeiro AI4CE 16 3 0 20 Jul 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 36 15 0 19 Jul 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 44 6 0 16 Jul 2022
Model Selection in Reinforcement Learning with General Function Approximations Avishek Ghosh Sayak Ray Chowdhury 27 3 0 06 Jul 2022
Designing MacPherson Suspension Architectures using Bayesian Optimization Sinnu Susan Thomas Jacopo Palandri M. Lakehal-Ayat Punarjay Chakravarty F. Wolf-Monheim Matthew B. Blaschko 11 4 0 17 Jun 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation Sebastian Ament Carla P. Gomes 29 8 0 16 Jun 2022
On Provably Robust Meta-Bayesian Optimization Zhongxiang Dai Yizhou Chen Haibin Yu K. H. Low Patrick Jaillet AAML 33 10 0 14 Jun 2022
Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution Julia Moosbauer Giuseppe Casalicchio Marius Lindauer B. Bischl 35 2 0 11 Jun 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 46 36 0 09 Jun 2022
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 30 4 0 06 Jun 2022
Active Bayesian Causal Inference Christian Toth Lars Lorch Christian Knoll Andreas Krause Franz Pernkopf Robert Peharz Julius von Kügelgen 53 26 0 04 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 42 41 0 03 Jun 2022
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning Andrea Zanette Martin J. Wainwright OOD 45 5 0 01 Jun 2022
Surrogate modeling for Bayesian optimization beyond a single Gaussian process Qin Lu Konstantinos D. Polyzos Bingcong Li G. Giannakis GP 38 18 0 27 May 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens Stefano Teso Laurens Bliek Andrea Borghesi M. Lombardi Neil Yorke-Smith Tias Guns Andrea Passerini 23 2 0 20 May 2022
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL Han Wang Archit Sakhadeo Adam White James Bell Vincent Liu Xutong Zhao Puer Liu Tadashi Kozuno Alona Fyshe Martha White OffRL OnRL 33 7 0 18 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 39 13 0 09 May 2022
Self-focusing virtual screening with active design space pruning David E. Graff Matteo Aldeghi Joseph A. Morrone K. E. Jordan Edward O. Pyzer-Knapp Connor W. Coley 37 24 0 03 May 2022
$π$ BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization Carl Hvarfner Daniel Stoll Artur L. F. Souza Marius Lindauer Frank Hutter Luigi Nardi 20 68 0 23 Apr 2022
Provably Efficient Kernelized Q-Learning Shuang Liu H. Su MLT 34 4 0 21 Apr 2022
Hierarchical Quality-Diversity for Online Damage Recovery Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Antoine Cully 30 12 0 12 Apr 2022
Trust-based Rate-Tunable Control Barrier Functions for Non-Cooperative Multi-Agent Systems Hardik Parwana Dimitra Panagou 12 21 0 09 Apr 2022
INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs Anthony Bardou Thomas Begin 11 11 0 30 Mar 2022
Safe Active Learning for Multi-Output Gaussian Processes Cen-You Li Barbara Rakitsch Christoph Zimmer UQCV 30 17 0 28 Mar 2022
Are Evolutionary Algorithms Safe Optimizers? Youngmin Kim Richard Allmendinger Manuel López-Ibánez 20 1 0 24 Mar 2022
Learning Representation for Bayesian Optimization with Collision-free Regularization Fengxue Zhang Brian D. Nord Yuxin Chen OOD BDL 22 2 0 16 Mar 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 15 12 0 15 Mar 2022
Support-vector-machine with Bayesian optimization for lithofacies classification using elastic properties Yohei Nishitsuji J. Nasseri 26 1 0 14 Mar 2022
Instance-Dependent Regret Analysis of Kernelized Bandits S. Shekhar T. Javidi 29 3 0 12 Mar 2022
Representation, learning, and planning algorithms for geometric task and motion planning Beomjoon Kim Luke Shimanuki L. Kaelbling Tomás Lozano-Pérez 19 23 0 09 Mar 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions Nina Deliu Joseph Jay Williams B. Chakraborty OffRL 35 5 0 04 Mar 2022
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection S. Pandey P. Teutsch Patrick Mäder J. Schumacher 22 33 0 26 Feb 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization Jungtaek Kim Seungjin Choi 26 5 0 22 Feb 2022
Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network Yun-Da Tsai Shou-De Lin 51 5 0 17 Feb 2022
Multi-Objective Model Selection for Time Series Forecasting Oliver Borchert David Salinas Valentin Flunkert Tim Januschowski Stephan Günnemann AI4TS 23 9 0 17 Feb 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise Sam Daulton Sait Cakmak Maximilian Balandat Michael A. Osborne Enlu Zhou E. Bakshy AAML 38 36 0 15 Feb 2022
Efficient Kernel UCB for Contextual Bandits Houssam Zenati A. Bietti Eustache Diemert Julien Mairal Matthieu Martin Pierre Gaillard 32 3 0 11 Feb 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 47 6 0 01 Feb 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi 30 13 0 31 Jan 2022
Bayesian Optimization For Multi-Objective Mixed-Variable Problems Haris Moazam Sheikh P. Marcus 39 11 0 30 Jan 2022
Learning Geometric Constraints in Task and Motion Planning Tianyu Ren Alexander I. Cowen-Rivers H. Ammar Jan Peters 24 2 0 24 Jan 2022
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems Bhavya Sukhija M. Turchetta David Lindner Andreas Krause Sebastian Trimpe Dominik Baumann 36 17 0 24 Jan 2022
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models Xiaofan Zhang Zongwei Zhou Deming Chen Yu Emma Wang 34 11 0 21 Jan 2022
Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty Matteo Castiglioni Alessandro Nuara Giulia Romano Giorgio Spadaro F. Trovò N. Gatti 8 4 0 18 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 38 100 0 11 Jan 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 32 35 0 02 Jan 2022
Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression John Jackson Luca Laurenti Eric Frew Morteza Lahijanian 29 16 0 31 Dec 2021
Fully Distributed Informative Planning for Environmental Learning with Multi-Robot Systems Dohyun Jang Jaehyun Yoo C. Son H. J. Kim 35 6 0 29 Dec 2021
Triangulation candidates for Bayesian optimization R. Gramacy Anna Sauer Nathan Wycoff 34 13 0 14 Dec 2021
Safe Linear Leveling Bandits Ilker Demirel Mehmet Ufuk Ozdemir Cem Tekin 22 1 0 13 Dec 2021