A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

12 December 2010

Papers citing "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning"

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Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 37 13 0 23 Feb 2018
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making L. Zintgraf D. Roijers Sjoerd Linders Catholijn M. Jonker A. Nowé 16 49 0 21 Feb 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 55 34 0 06 Feb 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 27 403 0 02 Feb 2018
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification P. Murugan 30 18 0 03 Jan 2018
Query-limited Black-box Attacks to Classifiers Fnu Suya Yuan Tian David Evans Paolo Papotti AAML 20 24 0 23 Dec 2017
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach Lei Lin Zhengbing He S. Peeta GNN 15 370 0 13 Dec 2017
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery I. Olier Noureddin M. Sadawi G. R. Bickerton Joaquin Vanschoren C. Grosan Larisa B. Soldatova R. King 14 74 0 12 Sep 2017
Automatic Document Image Binarization using Bayesian Optimization Ekta Vats A. Hast Prashant Singh 19 25 0 06 Sep 2017
Automatic Selection of t-SNE Perplexity Yanshuai Cao Luyu Wang 21 43 0 10 Aug 2017
One button machine for automating feature engineering in relational databases Hoang Thanh Lam Johann-Michael Thiebaut M. Sinn Bei Chen Tiep Mai Öznur Alkan 17 95 0 01 Jun 2017
Pitfalls and Best Practices in Algorithm Configuration Katharina Eggensperger Marius Lindauer Frank Hutter 32 62 0 17 May 2017
Inverse Reinforcement Learning from Summary Data A. Kangasrääsiö Samuel Kaski OffRL 26 15 0 28 Mar 2017
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm Hiva Ghanbari K. Scheinberg TPM 27 26 0 20 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 21 220 0 18 Mar 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 37 9 0 15 Mar 2017
Bayesian Optimization with Gradients Jian Wu Matthias Poloczek A. Wilson P. Frazier 29 210 0 13 Mar 2017
Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs Philippe Morere Román Marchant F. Ramos 17 55 0 13 Mar 2017
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions Xiaoyan Lin Asif J. Chowdhury Xiao Fan Wang G. Terejanu 18 15 0 01 Mar 2017
Occupancy Map Building through Bayesian Exploration Gilad Francis Lionel Ott Román Marchant F. Ramos 34 22 0 01 Mar 2017
Query Efficient Posterior Estimation in Scientific Experiments via Bayesian Active Learning Kirthevasan Kandasamy J. Schneider Barnabás Póczós 33 29 0 03 Feb 2017
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA Manuel Martin Salvador M. Budka Bogdan Gabrys TPM 24 25 0 28 Dec 2016
Limbo: A Fast and Flexible Library for Bayesian Optimization Antoine Cully Konstantinos Chatzilygeroudis Federico Allocati Jean-Baptiste Mouret 21 18 0 22 Nov 2016
Learning to Learn without Gradient Descent by Gradient Descent Yutian Chen Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Timothy Lillicrap Matt Botvinick Nando de Freitas 21 42 0 11 Nov 2016
GTApprox: surrogate modeling for industrial design Mikhail Belyaev Evgeny Burnaev Ermek Kapushev Maxim Panov P. Prikhodko Dmitry Vetrov Dmitry Yarotsky 24 50 0 05 Sep 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Hernández-Lobato Daniel Hernández-Lobato 28 113 0 05 Sep 2016
Warm Starting Bayesian Optimization Matthias Poloczek Jialei Wang P. Frazier 15 61 0 11 Aug 2016
Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems Zi Wang Stefanie Jegelka L. Kaelbling Tomás Lozano-Pérez 38 17 0 26 Jul 2016
Global Continuous Optimization with Error Bound and Fast Convergence Kenji Kawaguchi Y. Maruyama Xiaoyu Zheng 11 24 0 17 Jul 2016
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian Victor Picheny R. Gramacy Stefan M. Wild Sébastien Le Digabel 19 91 0 31 May 2016
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems Pei-hao Su Milica Gasic N. Mrksic L. Rojas-Barahona Stefan Ultes David Vandyke Tsung-Hsien Wen S. Young OffRL 39 170 0 24 May 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 35 546 0 23 May 2016
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 21 25 0 01 Apr 2016
Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions Laurens Bliek H. Verstraete M. Verhaegen S. Wahls 15 40 0 31 Mar 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 16 76 0 20 Mar 2016
Variance Reduction for Faster Non-Convex Optimization Zeyuan Allen-Zhu Elad Hazan ODL 38 390 0 17 Mar 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 60 442 0 07 Feb 2016
On Bayesian index policies for sequential resource allocation E. Kaufmann 43 84 0 06 Jan 2016
Natural Language Understanding with Distributed Representation Kyunghyun Cho GNN BDL 21 55 0 24 Nov 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 35 159 0 23 Nov 2015
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 43 78 0 21 Oct 2015
GLASSES: Relieving The Myopia Of Bayesian Optimisation Javier I. González Michael A. Osborne Neil D. Lawrence 16 119 0 21 Oct 2015
Bayesian inference for spatio-temporal spike-and-slab priors Michael Riis Andersen Aki Vehtari Ole Winther Lars Kai Hansen 34 33 0 15 Sep 2015
Mondrian Forests for Large-Scale Regression when Uncertainty Matters Balaji Lakshminarayanan Daniel M. Roy Yee Whye Teh UQCV 32 56 0 11 Jun 2015
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers Kyle Cranmer J. Pavez Gilles Louppe 11 222 0 06 Jun 2015
Bayesian optimization for materials design P. Frazier Jialei Wang AI4CE 24 224 0 03 Jun 2015
Bayesian Optimization for Synthetic Gene Design Javier I. González Joseph Longworth D. James Neil D. Lawrence 25 78 0 07 May 2015
Bayesian Policy Reuse Benjamin Rosman Majd Hawasly S. Ramamoorthy OffRL 23 81 0 01 May 2015
Differentiating the multipoint Expected Improvement for optimal batch design Sébastien Marmin C. Chevalier D. Ginsbourger 35 51 0 18 Mar 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs Y. Gal Richard Turner 21 78 0 09 Mar 2015