Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Practical Bayesian optimization in the presence of outliers Ruben Martinez-Cantin K. Tee M. McCourt 16 54 0 12 Dec 2017
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing Prashant Singh Ekta Vats A. Hast SyDa 13 8 0 11 Dec 2017
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks Dimitrios Stamoulis E. Cai Da-Cheng Juan Diana Marculescu 18 72 0 06 Dec 2017
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li-Jia Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 9 1,980 0 02 Dec 2017
The reparameterization trick for acquisition functions James T. Wilson Riccardo Moriconi Frank Hutter M. Deisenroth 19 76 0 01 Dec 2017
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality Rasool Fakoor Xiaodong He I. Tashev Shuayb Zarar 35 11 0 29 Nov 2017
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 6 734 0 27 Nov 2017
Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification Jean Feng N. Simon 24 99 0 21 Nov 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 30 24 0 19 Nov 2017
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs T. Hoang Q. Hoang Ruofei Ouyang K. H. Low 31 53 0 19 Nov 2017
On Optimal Generalizability in Parametric Learning Ahmad Beirami Meisam Razaviyayn Shahin Shahrampour Vahid Tarokh 19 52 0 14 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural Networks T. Elsken J. H. Metzen Frank Hutter 36 230 0 13 Nov 2017
A machine learning approach for efficient uncertainty quantification using multiscale methods Shing Chan A. Elsheikh 30 72 0 12 Nov 2017
GPflowOpt: A Bayesian Optimization Library using TensorFlow Nicolas Knudde J. Herten T. Dhaene Ivo Couckuyt GP 17 78 0 10 Nov 2017
EnergyNet: Energy-based Adaptive Structural Learning of Artificial Neural Network Architectures Gus Kristiansen X. Gonzalvo AI4CE 27 1 0 08 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 6 85 0 08 Nov 2017
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap Aryan Mokhtari S. Hassani Amin Karbasi 19 70 0 05 Nov 2017
Fast Information-theoretic Bayesian Optimisation Binxin Ru Mark McLeod Diego Granziol Michael A. Osborne 20 49 0 02 Nov 2017
Stochastic Zeroth-order Optimization in High Dimensions Yining Wang S. Du Sivaraman Balakrishnan Aarti Singh 21 105 0 29 Oct 2017
Learning to Warm-Start Bayesian Hyperparameter Optimization Jungtaek Kim Saehoon Kim Seungjin Choi 11 3 0 17 Oct 2017
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 44 2,318 0 15 Oct 2017
Hyperparameter Importance Across Datasets J. N. van Rijn Frank Hutter 19 239 0 12 Oct 2017
Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach Kasun Bandara Christoph Bergmeir Slawek Smyl AI4TS 19 29 0 09 Oct 2017
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 22 27 0 08 Oct 2017
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes J. Liu B. Coull 29 10 0 03 Oct 2017
Adaptive Smoothing in fMRI Data Processing Neural Networks A. Vilamala Kristoffer Hougaard Madsen Lars Kai Hansen MedIm 28 0 0 02 Oct 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 24 26 0 27 Sep 2017
Learning a Predictive Model for Music Using PULSE Jonas Langhabel 16 1 0 26 Sep 2017
Analogical-based Bayesian Optimization Trung Le Khanh-Duy Nguyen T. Nguyen Dinh Q. Phung 13 0 0 19 Sep 2017
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning A. Ashok Nicholas Rhinehart Fares N. Beainy Kris Kitani 24 170 0 18 Sep 2017
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 39 76 0 16 Sep 2017
Supervising Unsupervised Learning Vikas K. Garg Adam Kalai SSL FedML 18 29 0 14 Sep 2017
Warmstarting of Model-based Algorithm Configuration Marius Lindauer Frank Hutter 11 62 0 14 Sep 2017
MOLTE: a Modular Optimal Learning Testing Environment Yingfei Wang Warrren B Powell OffRL 13 3 0 13 Sep 2017
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty Rafael Oliveira Lionel Ott Vitor Campagnolo Guizilini F. Ramos 13 16 0 07 Sep 2017
Automatic Document Image Binarization using Bayesian Optimization Ekta Vats A. Hast Prashant Singh 11 25 0 06 Sep 2017
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data Hongming Li Mohamad Habes Yong-Xian Fan 35 34 0 05 Sep 2017
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads Tian Li Jie Zhong Ji Liu Wentao Wu Ce Zhang 16 69 0 24 Aug 2017
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation Ioannis Tsamardinos Elissavet Greasidou Michalis Tsagris Giorgos Borboudakis OnRL 13 170 0 23 Aug 2017
ProbFlow: Joint Optical Flow and Uncertainty Estimation Anne S. Wannenwetsch M. Keuper Stefan Roth 14 60 0 22 Aug 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks Andrew Brock Theodore Lim J. Ritchie Nick Weston 25 761 0 17 Aug 2017
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data Thorsten Kurth Jian Zhang N. Satish Ioannis Mitliagkas Evan Racah ... J. Deslippe Mikhail Shiryaev Srinivas Sridharan P. Prabhat Pradeep Dubey 4 83 0 17 Aug 2017
Early Stage Malware Prediction Using Recurrent Neural Networks Matilda Rhode Pete Burnap K. Jones AAML 22 253 0 11 Aug 2017
Machine learning for neural decoding Joshua I. Glaser Ari S. Benjamin Raeed H. Chowdhury M. Perich L. Miller Konrad Paul Kording 33 242 0 02 Aug 2017
Streaming kernel regression with provably adaptive mean, variance, and regularization A. Durand Odalric-Ambrym Maillard Joelle Pineau 21 44 0 02 Aug 2017
$"I can assure you [$\ldots$] that it's going to be all right" -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships$ "I can assure you [ $\ldots$ ] 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 11 0 0 01 Aug 2017
Distributed multi-agent Gaussian regression via finite-dimensional approximations G. Pillonetto Luca Schenato Damiano Varagnolo 10 0 0 01 Aug 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization Frederick Tung S. Muralidharan Greg Mori 29 35 0 28 Jul 2017
Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models Trevor Campbell Brian Kulis Jonathan P. How 21 13 0 26 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 95 5,557 0 21 Jul 2017