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
Deep Learning: Computational Aspects Nicholas G. Polson Vadim Sokolov PINN BDL AI4CE 29 14 0 26 Aug 2018
On a New Improvement-Based Acquisition Function for Bayesian Optimization Umberto Noè D. Husmeier 13 21 0 21 Aug 2018
OBOE: Collaborative Filtering for AutoML Model Selection Chengrun Yang Yuji Akimoto Dae Won Kim Madeleine Udell 21 100 0 09 Aug 2018
Nonparametric Gaussian Mixture Models for the Multi-Armed Bandit Iñigo Urteaga C. Wiggins 17 2 0 08 Aug 2018
Learning to guide task and motion planning using score-space representation Beomjoon Kim Zi Wang L. Kaelbling Tomas Lozano-Perez 27 90 0 26 Jul 2018
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach Yuzhe Ma Subhendu Roy Jin Miao Jiamin Chen Bei Yu 12 39 0 18 Jul 2018
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation Xiong Lyu M. Binois M. Ludkovski 8 24 0 18 Jul 2018
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems Thomas Beckers Dana Kulić Sandra Hirche 13 123 0 19 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 23 135 0 05 Jun 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 41 27 0 30 May 2018
Human-in-the-Loop Interpretability Prior Isaac Lage A. Ross Been Kim S. Gershman Finale Doshi-Velez 32 120 0 29 May 2018
Neural Generative Models for Global Optimization with Gradients Louis Faury Flavian Vasile Clément Calauzènes Olivier Fercoq 14 2 0 22 May 2018
Accelerated Bayesian Optimization throughWeight-Prior Tuning A. Shilton Sunil R. Gupta Santu Rana Pratibha Vellanki Laurence Park ... David Rubin T. Dorin Alireza Vahid Murray Height Teo Slezak 22 1 0 21 May 2018
Data-efficient Neuroevolution with Kernel-Based Surrogate Models Adam Gaier A. Asteroth Jean-Baptiste Mouret SyDa 31 17 0 15 Apr 2018
Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems M. Helwa Adam Heins Angela P. Schoellig 9 51 0 03 Apr 2018
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI Chen Yu Bojan Karlas Jie Zhong Ce Zhang Ji Liu 16 6 0 17 Mar 2018
Active Reinforcement Learning with Monte-Carlo Tree Search Sebastian Schulze Owain Evans 6 13 0 13 Mar 2018
Bayesian Optimization for Dynamic Problems Favour Nyikosa Michael A. Osborne Stephen J. Roberts 34 40 0 09 Mar 2018
Reinforcement Learning for Dynamic Bidding in Truckload Markets: an Application to Large-Scale Fleet Management with Advance Commitments Yingfei Wang J. Nascimento Warrren B Powell 16 1 0 25 Feb 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 33 45 0 23 Feb 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic V. Cevher 38 115 0 20 Feb 2018
Covariance Function Pre-Training with m-Kernels for Accelerated Bayesian Optimisation A. Shilton Sunil R. Gupta Santu Rana Pratibha Vellanki Cheng Li ... A. Sutti David Rubin T. Dorin Alireza Vahid Murray Height 151 0 0 15 Feb 2018
Policy Gradients for Contextual Recommendations Feiyang Pan Qingpeng Cai Pingzhong Tang Fuzhen Zhuang Qing He OffRL 18 39 0 12 Feb 2018
Gaussian Process Landmarking on Manifolds Tingran Gao S. Kovalsky Ingrid Daubechies 21 39 0 09 Feb 2018
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation Lex Fridman Jack Terwilliger Benedikt Jenik 32 24 0 09 Jan 2018
PHOENICS: A universal deep Bayesian optimizer Florian Hase L. Roch C. Kreisbeck Alán Aspuru-Guzik 27 16 0 04 Jan 2018
Gaussian Process bandits with adaptive discretization S. Shekhar T. Javidi 30 51 0 05 Dec 2017
Novel Exploration Techniques (NETs) for Malaria Policy Interventions Oliver E. Bent S. Remy Stephen J. Roberts Aisha Walcott-Bryant 13 18 0 01 Dec 2017
The reparameterization trick for acquisition functions James T. Wilson Riccardo Moriconi Frank Hutter M. Deisenroth 27 76 0 01 Dec 2017
Near-optimal irrevocable sample selection for periodic data streams with applications to marine robotics Genevieve Flaspohler Nicholas Roy Yogesh A. Girdhar 26 9 0 29 Nov 2017
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs T. Hoang Q. Hoang Ruofei Ouyang K. H. Low 37 53 0 19 Nov 2017
A Robust Genetic Algorithm for Learning Temporal Specifications from Data L. Nenzi Simone Silvetti E. Bartocci Luca Bortolussi 22 44 0 13 Nov 2017
Fast Information-theoretic Bayesian Optimisation Binxin Ru Mark McLeod Diego Granziol Michael A. Osborne 28 49 0 02 Nov 2017
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 44 76 0 16 Sep 2017
MOLTE: a Modular Optimal Learning Testing Environment Yingfei Wang Warrren B Powell OffRL 18 3 0 13 Sep 2017
Causality-Aided Falsification Takumi Akazaki Yoshihiro Kumazawa I. Hasuo 19 7 0 08 Sep 2017
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty Rafael Oliveira Lionel Ott Vitor Campagnolo Guizilini F. Ramos 21 16 0 07 Sep 2017
Automatic Document Image Binarization using Bayesian Optimization Ekta Vats A. Hast Prashant Singh 19 25 0 06 Sep 2017
Streaming kernel regression with provably adaptive mean, variance, and regularization A. Durand Odalric-Ambrym Maillard Joelle Pineau 21 44 0 02 Aug 2017
Second-Order Kernel Online Convex Optimization with Adaptive Sketching Daniele Calandriello A. Lazaric Michal Valko 24 38 0 15 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 14 209 0 05 Jun 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization Jonathan Scarlett Ilija Bogunovic V. Cevher 33 99 0 31 May 2017
Bayesian Unification of Gradient and Bandit-based Learning for Accelerated Global Optimisation Ole-Christoffer Granmo 9 0 0 28 May 2017
Adaptive Rate of Convergence of Thompson Sampling for Gaussian Process Optimization Kinjal Basu Souvik Ghosh 21 42 0 18 May 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning Christoph Dann Tor Lattimore Emma Brunskill 19 304 0 22 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 48 124 0 06 Mar 2017
Occupancy Map Building through Bayesian Exploration Gilad Francis Lionel Ott Román Marchant F. Ramos 37 22 0 01 Mar 2017
Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination Adam Gaier A. Asteroth Jean-Baptiste Mouret 25 46 0 13 Feb 2017
Query Efficient Posterior Estimation in Scientific Experiments via Bayesian Active Learning Kirthevasan Kandasamy J. Schneider Barnabás Póczós 33 29 0 03 Feb 2017
Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions Brett W. Israelsen Nisar R. Ahmed 9 0 0 13 Dec 2016