Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Discretization-free Knowledge Gradient Methods for Bayesian Optimization Jian Wu P. Frazier BDL 21 9 0 20 Jul 2017
Machine Learning for Quantum Dynamics: Deep Learning of Excitation Energy Transfer Properties Florian Hase C. Kreisbeck A. Aspuru‐Guzik 16 55 0 20 Jul 2017
Robust Bayesian Optimization with Student-t Likelihood Ruben Martinez-Cantin M. McCourt K. Tee 18 6 0 18 Jul 2017
Learning to select data for transfer learning with Bayesian Optimization Sebastian Ruder Barbara Plank 11 184 0 17 Jul 2017
Efficient Architecture Search by Network Transformation Han Cai Tianyao Chen Weinan Zhang Yong Yu Jun Wang OOD 3DV 32 67 0 16 Jul 2017
Variational approach for learning Markov processes from time series data Hao Wu Frank Noé BDL AI4TS 6 258 0 14 Jul 2017
Bayesian Optimization for Probabilistic Programs Tom Rainforth T. Le Jan-Willem van de Meent Michael A. Osborne Frank Wood TPM 13 26 0 13 Jul 2017
Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization E. Ayvali Hadi Salman Howie Choset 27 48 0 13 Jul 2017
Distributionally Ambiguous Optimization Techniques for Batch Bayesian Optimization Nikitas Rontsis Michael A. Osborne Paul Goulart 13 4 0 13 Jul 2017
Single-Queue Decoding for Neural Machine Translation Raphael Shu Hideki Nakayama 39 0 0 06 Jul 2017
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization Jeffery Kinnison Nathaniel Kremer-Herman D. Thain Walter J. Scheirer 25 11 0 05 Jul 2017
Deep neural network initialization with decision trees K. Humbird J. Peterson R. McClarren 16 5 0 03 Jul 2017
Generalising Random Forest Parameter Optimisation to Include Stability and Cost C. H. B. Liu B. Chamberlain Duncan A. Little Ângelo Cardoso 14 25 0 29 Jun 2017
Constrained Bayesian Optimization with Noisy Experiments Benjamin Letham Brian Karrer Guilherme Ottoni E. Bakshy 26 296 0 21 Jun 2017
Deriving Compact Laws Based on Algebraic Formulation of a Data Set Wenqing Xu M. Stalzer 15 4 0 16 Jun 2017
The Compressed Model of Residual CNDS Hussam Qassim David Feinzimer Abhishek Verma 16 0 0 15 Jun 2017
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking James Tompkin K. Kim Hanspeter Pfister Christian Theobalt 6 4 0 12 Jun 2017
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes E.C. Garrido-Merchán Daniel Hernández-Lobato 59 227 0 12 Jun 2017
YellowFin and the Art of Momentum Tuning Jian Zhang Ioannis Mitliagkas ODL 23 108 0 12 Jun 2017
Toward Optimal Run Racing: Application to Deep Learning Calibration Olivier Bousquet Sylvain Gelly Karol Kurach Marc Schoenauer Michele Sebag O. Teytaud Damien Vincent 15 1 0 10 Jun 2017
Estimating Shape Parameters of Piecewise Linear-Quadratic Problems P. Zheng Aleksandr Aravkin Karthikeyan N. Ramamurthy 8 0 0 06 Jun 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato James Requeima Edward O. Pyzer-Knapp Alán Aspuru-Guzik 33 178 0 06 Jun 2017
Open Loop Hyperparameter Optimization and Determinantal Point Processes Jesse Dodge Catrìona Anderson Noah A. Smith 36 2 0 06 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
Hyperparameter Optimization: A Spectral Approach Elad Hazan Adam R. Klivans Yang Yuan 27 118 0 02 Jun 2017
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 38 115 0 01 Jun 2017
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models G. L. Guimaraes Benjamín Sánchez-Lengeling Carlos Outeiral Pedro Luis Cunha Farias Alán Aspuru-Guzik GAN 34 519 0 30 May 2017
Accelerating Neural Architecture Search using Performance Prediction Bowen Baker O. Gupta Ramesh Raskar Nikhil Naik 15 30 0 30 May 2017
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling Kirthevasan Kandasamy A. Krishnamurthy J. Schneider Barnabás Póczós 11 29 0 25 May 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 48 415 0 24 May 2017
An effective algorithm for hyperparameter optimization of neural networks G. I. Diaz Achille Fokoue G. Nannicini Horst Samulowitz 26 156 0 23 May 2017
A novel algorithmic approach to Bayesian Logic Regression A. Hubin G. Storvik F. Frommlet 28 16 0 22 May 2017
Structural Compression of Convolutional Neural Networks R. Abbasi-Asl Bin-Xia Yu 33 16 0 20 May 2017
Adaptive Rate of Convergence of Thompson Sampling for Gaussian Process Optimization Kinjal Basu Souvik Ghosh 13 42 0 18 May 2017
Pitfalls and Best Practices in Algorithm Configuration Katharina Eggensperger Marius Lindauer Frank Hutter 32 62 0 17 May 2017
Text-based Adventures of the Golovin AI Agent Bartosz Kostka Jaroslaw Kwiecieli Jakub Kowalski Paweł Rychlikowski AI4CE 9 31 0 16 May 2017
Probabilistic Matrix Factorization for Automated Machine Learning Nicolò Fusi Rishit Sheth Melih Elibol 18 134 0 15 May 2017
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search Luigi Acerbi Wei Ji 16 218 0 11 May 2017
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets Akilan Thangarajah Q. M. J. Wu Wei Jiang 21 4 0 11 May 2017
Residual Squeeze VGG16 Hussam Qassim David Feinzimer Abhishek Verma VLM 14 21 0 05 May 2017
DeepArchitect: Automatically Designing and Training Deep Architectures Renato M. P. Negrinho Geoffrey J. Gordon 25 185 0 28 Apr 2017
Exploiting random projections and sparsity with random forests and gradient boosting methods -- Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity Arnaud Joly 30 10 0 26 Apr 2017
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks Cem M. Deniz Siyuan Xiang S. Hallyburton A. Welbeck James S. Babb S. Honig Kyunghyun Cho G. Chang 23 147 0 20 Apr 2017
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance Llewyn Salt David Howard Giacomo Indiveri Yulia Sandamirskaya 11 4 0 17 Apr 2017
Preferential Bayesian Optimization Javier I. González Zhenwen Dai Andreas C. Damianou Neil D. Lawrence 15 110 0 12 Apr 2017
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations E. Siivola Aki Vehtari J. Vanhatalo Javier I. González Michael Riis Andersen 11 25 0 04 Apr 2017
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Masanori Suganuma Shinichi Shirakawa T. Nagao 22 587 0 03 Apr 2017
Efficient acquisition rules for model-based approximate Bayesian computation Marko Jarvenpaa Michael U. Gutmann Arijus Pleska Aki Vehtari Pekka Marttinen TPM 27 69 0 03 Apr 2017
Exploiting gradients and Hessians in Bayesian optimization and Bayesian quadrature Anqi Wu Mikio C. Aoi Jonathan W. Pillow 17 41 0 31 Mar 2017
Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates Katharina Eggensperger Marius Lindauer Holger H. Hoos Frank Hutter Kevin Leyton-Brown 17 7 0 30 Mar 2017