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"

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Title
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification Daniele Calandriello Luigi Carratino A. Lazaric Michal Valko Lorenzo Rosasco 39 19 0 23 Feb 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 21 4 0 19 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning Zhenyu Shou Xuan Di 27 57 0 17 Feb 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis Jung Yeon Park K. T. Carr Stephan Zhang Yisong Yue Rose Yu 35 14 0 13 Feb 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie Zeilinger 47 36 0 07 Feb 2020
$ε$ -shotgun: $ε$ -greedy Batch Bayesian Optimisation George De Ath Richard Everson J. Fieldsend Alma A. M. Rahat 29 15 0 05 Feb 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 22 158 0 03 Feb 2020
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits Gergely Neu Julia Olkhovskaya 16 44 0 01 Feb 2020
Tight Regret Bounds for Noisy Optimization of a Brownian Motion Zexin Wang Vincent Y. F. Tan Jonathan Scarlett 27 5 0 25 Jan 2020
Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics Ayat Fekry Lucian Carata Thomas Pasquier Andrew Rice A. Hopper 42 16 0 22 Jan 2020
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks Md Shahriar Iqbal Jianhai Su Lars Kotthoff Pooyan Jamshidi 25 3 0 18 Jan 2020
Bayesian Quantile and Expectile Optimisation Victor Picheny Henry B. Moss Léonard Torossian N. Durrande 19 21 0 12 Jan 2020
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning Yao Zhang Daniel Jarrett M. Schaar 11 9 0 12 Jan 2020
On Thompson Sampling for Smoother-than-Lipschitz Bandits James A. Grant David S. Leslie 20 7 0 08 Jan 2020
Ordinal Bayesian Optimisation Victor Picheny Sattar Vakili A. Artemev 20 8 0 05 Dec 2019
Safety Guarantees for Planning Based on Iterative Gaussian Processes Kyriakos Polymenakos Luca Laurenti A. Patané Jan-Peter Calliess L. Cardelli Marta Z. Kwiatkowska Alessandro Abate Stephen J. Roberts 13 10 0 29 Nov 2019
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs Dang Nguyen Sunil R. Gupta Santu Rana A. Shilton Svetha Venkatesh 16 50 0 28 Nov 2019
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 27 14 0 27 Nov 2019
Actively Learning Gaussian Process Dynamics Mona Buisson-Fenet Friedrich Solowjow Sebastian Trimpe GP 30 64 0 22 Nov 2019
Information-Theoretic Confidence Bounds for Reinforcement Learning Xiuyuan Lu Benjamin Van Roy 11 60 0 21 Nov 2019
A Simple Heuristic for Bayesian Optimization with A Low Budget Masahiro Nomura Kenshi Abe 34 1 0 18 Nov 2019
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case E. Cisbani A. Dotto C. Fanelli Michael Williams M. Alfred ... R. Towell Junqi Xie Zhiwen Zhao B. Zihlmann C. Zorn 22 29 0 13 Nov 2019
Non-parametric Probabilistic Load Flow using Gaussian Process Learning Parikshit Pareek Chuan Wang H. Nguyen 20 5 0 08 Nov 2019
A Programmable Approach to Neural Network Compression Vinu Joseph Saurav Muralidharan Animesh Garg M. Garland Ganesh Gopalakrishnan 33 10 0 06 Nov 2019
Designing over uncertain outcomes with stochastic sampling Bayesian optimization Peter D. Tonner D. Samarov A. Kusne 9 0 0 05 Nov 2019
Online tuning and light source control using a physics-informed Gaussian process Adi A. Hanuka J. Duris J. Shtalenkova Dylan Kennedy A. Edelen Daniel Ratner Xiaobiao Huang 6 20 0 04 Nov 2019
On Batch Bayesian Optimization Sayak Ray Chowdhury Aditya Gopalan 27 9 0 04 Nov 2019
Zeroth Order Non-convex optimization with Dueling-Choice Bandits Yichong Xu Aparna R. Joshi Aarti Singh A. Dubrawski 26 13 0 03 Nov 2019
Recovering Bandits Ciara Pike-Burke Steffen Grunewalder 15 40 0 31 Oct 2019
Bayesian Optimization with Unknown Search Space Huong Ha Santu Rana Sunil R. Gupta Thanh Nguyen Hung The Tran Svetha Venkatesh 25 22 0 29 Oct 2019
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 28 15 0 26 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 53 314 0 25 Oct 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh Man-Chung Yue Daniel Kuhn W. Wiesemann 19 29 0 23 Oct 2019
Bayesian Optimization Allowing for Common Random Numbers Michael Pearce Matthias Poloczek Juergen Branke BDL 19 23 0 21 Oct 2019
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors Llewyn Salt David Howard Giacomo Indiveri Yulia Sandamirskaya 12 43 0 17 Oct 2019
Constrained Bayesian Optimization with Max-Value Entropy Search Valerio Perrone I. Shcherbatyi Rodolphe Jenatton Cédric Archambeau Matthias Seeger 13 41 0 15 Oct 2019
Neural Collision Clearance Estimator for Batched Motion Planning J. Kew Brian Ichter Maryam Bandari T. Lee Aleksandra Faust 3DV 11 11 0 14 Oct 2019
Bayesian Optimization using Pseudo-Points Chao Qian Hang Xiong Ke Xue 28 15 0 12 Oct 2019
Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments Genevieve Flaspohler Victoria L. Preston A. Michel Yogesh A. Girdhar Nicholas Roy 34 45 0 26 Sep 2019
Bayesian Optimization for Iterative Learning Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 16 32 0 20 Sep 2019
Bayesian Optimization under Heavy-tailed Payoffs Sayak Ray Chowdhury Aditya Gopalan 24 25 0 16 Sep 2019
Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization Thomas Beckers Somil Bansal Claire Tomlin Sandra Hirche 16 6 0 12 Sep 2019
Surrogate-based Optimization using Mutual Information for Computer Experiments (optim-MICE) Theodoros Mathikolonis S. Guillas 16 3 0 10 Sep 2019
Student Performance Prediction with Optimum Multilabel Ensemble Model Ephrem Admasu Yekun Abrahaley Teklay 20 8 0 06 Sep 2019
Learning a Spatial Field in Minimum Time with a Team of Robots Varun Suryan Pratap Tokekar 9 26 0 04 Sep 2019
Adaptive Configuration Oracle for Online Portfolio Selection Methods Favour Nyikosa Michael A. Osborne Stephen J. Roberts 9 1 0 22 Aug 2019
$How to gamble with non-stationary $\mathcal{X}$-armed bandits and have no regrets$ How to gamble with non-stationary $\mathcal{X}$ -armed bandits and have no regrets V. Avanesov 6 0 0 20 Aug 2019
Linear Stochastic Bandits Under Safety Constraints Sanae Amani M. Alizadeh Christos Thrampoulidis 36 117 0 16 Aug 2019
PHYRE: A New Benchmark for Physical Reasoning A. Bakhtin Laurens van der Maaten Justin Johnson Laura Gustafson Ross B. Girshick LRM 24 122 0 15 Aug 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations Ksenia Korovina Sailun Xu Kirthevasan Kandasamy Willie Neiswanger Barnabás Póczós J. Schneider Eric Xing 42 122 0 05 Aug 2019