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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Data-Efficient Design Exploration through Surrogate-Assisted Illumination Adam Gaier A. Asteroth Jean-Baptiste Mouret 77 80 0 15 Jun 2018
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 115 44 0 12 Jun 2018
Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun Guodong Zhang Chaoqi Wang Wenyuan Zeng Jiaman Li Roger C. Grosse BDL 85 71 0 12 Jun 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 88 228 0 11 Jun 2018
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems L. Cornejo-Bueno 54 1 0 05 Jun 2018
Syntactic Dependency Representations in Neural Relation Classification Farhad Nooralahzadeh Lilja Øvrelid NAI 22 2 0 28 May 2018
A Framework for Robot Manipulation: Skill Formalism, Meta Learning and Adaptive Control Lars Johannsmeier Malkin Gerchow Sami Haddadin 70 112 0 22 May 2018
Independent Component Analysis via Energy-based and Kernel-based Mutual Dependence Measures Ze Jin David S. Matteson 46 5 0 17 May 2018
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization Juan Cruz Barsce J. Palombarini E. Martínez GP 62 33 0 12 May 2018
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots Akshara Rai Rika Antonova Franziska Meier C. Atkeson 89 29 0 07 May 2018
Bayesian active learning for choice models with deep Gaussian processes Jie Yang Diego Klabjan 32 12 0 04 May 2018
Data-efficient Neuroevolution with Kernel-Based Surrogate Models Adam Gaier A. Asteroth Jean-Baptiste Mouret SyDa 48 18 0 15 Apr 2018
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data P. Schratz Jannes Muenchow E. Iturritxa Jakob Richter A. Brenning 100 335 0 29 Mar 2018
Bayesian Optimization with Expensive Integrands Saul Toscano-Palmerin P. Frazier 56 49 0 23 Mar 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 49 6 0 17 Mar 2018
Capturing Structure Implicitly from Time-Series having Limited Data Daniel Emaasit Matthew W. Johnson AI4TS 20 1 0 15 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 128 73 0 13 Mar 2018
Bayesian Optimization for Dynamic Problems Favour Nyikosa Michael A. Osborne Stephen J. Roberts 83 42 0 09 Mar 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 96 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 67 50 0 21 Feb 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher 100 115 0 20 Feb 2018
Learning to Race through Coordinate Descent Bayesian Optimisation Rafael Oliveira Fernando H. M. Rocha Lionel Ott Vitor Campagnolo Guizilini F. Ramos V. Grassi 49 9 0 17 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 332 0 0 15 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 164 609 0 11 Feb 2018
Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter Wenyi Wang William J. Welch 20 4 0 10 Feb 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 142 35 0 06 Feb 2018
The Sea Exploration Problem: Data-driven Orienteering on a Continuous Surface João Pedro Pedroso Kramer Alpar-Vajk Kecheng Zhang 18 0 0 05 Feb 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 95 412 0 02 Feb 2018
Neural Feature Learning From Relational Database Hoang Thanh Lam T. Minh M. Sinn Beat Buesser Martin Wistuba 72 8 0 16 Jan 2018
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification P. Murugan 39 18 0 03 Jan 2018
Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM Chin-Jung Hsu V. Nair Vincent W. Freeh Tim Menzies 39 94 0 28 Dec 2017
Query-limited Black-box Attacks to Classifiers Fnu Suya Yuan Tian David Evans Paolo Papotti AAML 59 24 0 23 Dec 2017
Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior P. Murugan BDL 72 28 0 19 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 45 377 0 13 Dec 2017
Characterizing the hyper-parameter space of LSTM language models for mixed context applications Victor Akinwande S. Remy 28 1 0 08 Dec 2017
Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery Hadi Salman E. Ayvali Rangaprasad Arun Srivatsan Yifei Ma N. Zevallos Rashid Yasin Long Wang Nabil Simaan Howie Choset 55 24 0 19 Nov 2017
Variational Adaptive-Newton Method for Explorative Learning Mohammad Emtiyaz Khan Wu Lin Voot Tangkaratt Zuozhu Liu Didrik Nielsen ODL 92 20 0 15 Nov 2017
On Optimal Generalizability in Parametric Learning Ahmad Beirami Meisam Razaviyayn Shahin Shahrampour Vahid Tarokh 66 52 0 14 Nov 2017
"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships Brett W. Israelsen Nisar R. Ahmed 70 86 0 08 Nov 2017
Generalized Probabilistic Bisection for Stochastic Root-Finding Sergio Rodríguez M. Ludkovski 46 3 0 02 Nov 2017
Fast Information-theoretic Bayesian Optimisation Binxin Ru Mark McLeod Diego Granziol Michael A. Osborne 92 49 0 02 Nov 2017
Bayesian Optimization for Parameter Tuning of the XOR Neural Network L. Stewart M. Stalzer BDL 63 5 0 22 Sep 2017
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search Rémi Pautrat Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 80 44 0 20 Sep 2017
Analogical-based Bayesian Optimization Trung Le Khanh-Duy Nguyen T. Nguyen Dinh Q. Phung 23 0 0 19 Sep 2017
Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped Akshara Rai Rika Antonova Seungmoon Song William C. Martin H. Geyer C. Atkeson 80 73 0 18 Sep 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 Ross King 69 77 0 12 Sep 2017
Approximating meta-heuristics with homotopic recurrent neural networks Alessandro Bay B. Sengupta 38 8 0 07 Sep 2017
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty Rafael Oliveira Lionel Ott Vitor Campagnolo Guizilini F. Ramos 53 16 0 07 Sep 2017
Automatic Document Image Binarization using Bayesian Optimization Ekta Vats A. Hast Prashant Singh 24 25 0 06 Sep 2017
Automatic Selection of t-SNE Perplexity Yanshuai Cao Luyu Wang 75 43 0 10 Aug 2017