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
Quasi-Bayesian Dual Instrumental Variable Regression Ziyun Wang Yuhao Zhou Tongzheng Ren Jun Zhu 35 2 0 16 Jun 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization Marco Rando Luigi Carratino S. Villa Lorenzo Rosasco 44 5 0 16 Jun 2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin Koushil Sreenath 35 50 0 13 Jun 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 49 312 0 08 Jun 2021
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization Bing-Jing Hsieh Ping-Chun Hsieh Xi Liu 36 16 0 08 Jun 2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning Antoine Grosnit Rasul Tutunov A. Maraval Ryan-Rhys Griffiths Alexander I. Cowen-Rivers ... Wenlong Lyu Zhitang Chen Jun Wang Jan Peters Haitham Bou-Ammar BDL DRL 30 59 0 07 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 42 27 0 06 Jun 2021
GoSafe: Globally Optimal Safe Robot Learning Dominik Baumann A. Marco M. Turchetta Sebastian Trimpe 21 37 0 27 May 2021
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains Qiaohao Liang Aldair E. Gongora Zekun Ren A. Tiihonen Zhe Liu ... K. Hippalgaonkar Benji Maruyama Keith A. Brown John W Fisher Iii Tonio Buonassisi 35 118 0 23 May 2021
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric Dawei Sun M. J. Khojasteh S. Shekhar Chuchu Fan 23 2 0 13 May 2021
An Upper Confidence Bound for Simultaneous Exploration and Exploitation in Heterogeneous Multi-Robot Systems Ki Myung Brian Lee Felix H. Kong Ricardo Cannizzaro J. Palmer David Johnson C. Yoo Robert Fitch 47 15 0 13 May 2021
Lightweight Distributed Gaussian Process Regression for Online Machine Learning Zhenyuan Yuan Minghui Zhu 26 4 0 11 May 2021
Bayesian Optimistic Optimisation with Exponentially Decaying Regret Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 24 3 0 10 May 2021
Data-Efficient Reinforcement Learning for Malaria Control Lixin Zou Long Xia Linfang Hou Xiangyu Zhao Dawei Yin OffRL 14 7 0 04 May 2021
One-parameter family of acquisition functions for efficient global optimization T. Kanazawa 35 2 0 26 Apr 2021
High-dimensional near-optimal experiment design for drug discovery via Bayesian sparse sampling Hannes Eriksson Christos Dimitrakakis L. Carlsson 6 0 0 23 Apr 2021
Conservative Contextual Combinatorial Cascading Bandit Kun Wang Canzhe Zhao Shuai Li Shuo Shao 11 5 0 17 Apr 2021
Convolutional Normalizing Flows for Deep Gaussian Processes Haibin Yu Dapeng Liu Yizhou Chen K. H. Low Patrick Jaillet BDL 31 6 0 17 Apr 2021
Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task N. Sandholtz Yohsuke R. Miyamoto L. Bornn Maurice A. Smith 15 8 0 16 Apr 2021
Automatic Termination for Hyperparameter Optimization Anastasia Makarova Huibin Shen Valerio Perrone Aaron Klein Jean Baptiste Faddoul Andreas Krause Matthias Seeger Cédric Archambeau 38 22 0 16 Apr 2021
Understanding the Eluder Dimension Gen Li Pritish Kamath Dylan J. Foster Nathan Srebro 41 11 0 14 Apr 2021
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models Garrett A. Stevenson Derek Jones Hyojin Kim W. D. Bennett B. Bennion ... A. Zemla Xiaohua Zhang Fangqiang Zhu F. Lightstone Jonathan E. Allen 31 15 0 09 Apr 2021
Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations Wei W. Xing A. Shah Peng Wang Shandian Zhe Robert M. Kirby 30 12 0 08 Apr 2021
Human-in-the-loop Handling of Knowledge Drift A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 22 6 0 27 Mar 2021
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang H. Li Yiran Chen FedML 29 81 0 24 Mar 2021
Efficient Bayesian Optimization using Multiscale Graph Correlation T. Kanazawa 30 2 0 17 Mar 2021
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation Abhimanyu Dubey Alex Pentland 30 23 0 08 Mar 2021
Active learning based generative design for the discovery of wide bandgap materials Rui Xin Edirisuriya M Dilanga Siriwardane Yuqi Song Yong Zhao Steph-Yves M. Louis Alireza Nasiri Jianjun Hu AI4CE 36 13 0 28 Feb 2021
NOMU: Neural Optimization-based Model Uncertainty Jakob Heiss Jakob Weissteiner Hanna Wutte Sven Seuken Josef Teichmann BDL 42 19 0 26 Feb 2021
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel Changyong Oh Roberto Bondesan E. Gavves Max Welling 34 5 0 26 Feb 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method Lei Zheng Ruicong Yang Zhixuan Wu Jiesen Pan Hui Cheng 25 9 0 24 Feb 2021
Using Distance Correlation for Efficient Bayesian Optimization T. Kanazawa 48 3 0 17 Feb 2021
Fair Robust Assignment using Redundancy Matthew Malencia Vijay Kumar George Pappas Amanda Prorok 23 11 0 11 Feb 2021
Robust Bandit Learning with Imperfect Context Jianyi Yang Shaolei Ren 14 8 0 09 Feb 2021
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs Antonio Candelieri Francesco Archetti 24 2 0 09 Feb 2021
Directed particle swarm optimization with Gaussian-process-based function forecasting Johannes Jakubik Adrian Binding Stefan Feuerriegel 9 24 0 08 Feb 2021
Uncertainty quantification and exploration-exploitation trade-off in humans Antonio Candelieri Andrea Ponti Francesco Archetti 21 4 0 05 Feb 2021
Cost-Efficient Online Hyperparameter Optimization Jingkang Wang Mengye Ren Ilija Bogunovic Yuwen Xiong R. Urtasun 50 2 0 17 Jan 2021
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control Armin Lederer Jonas Umlauft Sandra Hirche 15 20 0 13 Jan 2021
CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels Jian Tan Niv Nayman Mengchang Wang 24 4 0 13 Jan 2021
Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic Sequencing Algorithm and Regret Analysis Lai Wei Andrew McDonald Vaibhav Srivastava 36 10 0 12 Jan 2021
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health M. Menictas Sabina Tomkins Susan Murphy 27 2 0 21 Dec 2020
Optimising Placement of Pollution Sensors in Windy Environments Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 7 3 0 19 Dec 2020
An Information-Theoretic Framework for Unifying Active Learning Problems Q. Nguyen Bryan Kian Hsiang Low Patrick Jaillet 23 17 0 19 Dec 2020
Online Learning Demands in Max-min Fairness Kirthevasan Kandasamy Gur-Eyal Sela Joseph E. Gonzalez Michael I. Jordan Ion Stoica FaML 14 15 0 15 Dec 2020
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 47 16 0 15 Dec 2020
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit Alexander I. Cowen-Rivers Rasul Tutunov Ryan-Rhys Griffiths Jun Wang Haitham Bou-Ammar 21 13 0 15 Dec 2020
Policy Optimization as Online Learning with Mediator Feedback Alberto Maria Metelli Matteo Papini P. DÓro Marcello Restelli OffRL 27 10 0 15 Dec 2020
Bayesian Optimization -- Multi-Armed Bandit Problem A. Nandy C. Kumar Deepak Mewada Soumya Sharma 16 1 0 14 Dec 2020