Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

50 / 2,247 papers shown

Title
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 18 1,461 0 07 Nov 2016
Reinforcement-based Simultaneous Algorithm and its Hyperparameters Selection V. Efimova Andrey Filchenkov A. Shalyto 8 2 0 07 Nov 2016
Bayesian Optimisation with Prior Reuse for Motion Planning in Robot Soccer Abhinav Agarwalla A. Jain KV Manohar Arpit Saxena J. Mukhopadhyay 16 2 0 06 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions Miltiadis Allamanis Pankajan Chanthirasegaran Pushmeet Kohli Charles Sutton CLL NAI 31 99 0 04 Nov 2016
Missing Data Imputation for Supervised Learning Jason Poulos Rafael Valle 26 62 0 28 Oct 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 72 89 0 24 Oct 2016
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization Zhiguang Wang Wei Song Lu Liu Fan Zhang Junxiao Xue Yangdong Ye Ming Fan Mingliang Xu AI4TS FAtt 41 23 0 24 Oct 2016
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 37 41 0 20 Oct 2016
Bank Card Usage Prediction Exploiting Geolocation Information Martin Wistuba Nghia Duong-Trung Nicolas Schilling Lars Schmidt-Thieme 14 2 0 13 Oct 2016
Exploring the Entire Regularization Path for the Asymmetric Cost Linear Support Vector Machine Daniel Wȩsierski 8 0 0 12 Oct 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 64 2,885 0 07 Oct 2016
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems Ruben Martinez-Cantin 19 42 0 02 Oct 2016
The Famine of Forte: Few Search Problems Greatly Favor Your Algorithm George D. Montañez 17 19 0 28 Sep 2016
Optimizing Neural Network Hyperparameters with Gaussian Processes for Dialog Act Classification Franck Dernoncourt Ji Young Lee 25 26 0 27 Sep 2016
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing J. Chorowski Michal Zapotoczny Paweł Rychlikowski 19 5 0 12 Sep 2016
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors Sébastien Marmin C. Chevalier D. Ginsbourger 21 13 0 09 Sep 2016
GTApprox: surrogate modeling for industrial design Mikhail Belyaev Evgeny Burnaev Ermek Kapushev Maxim Panov P. Prikhodko Dmitry Vetrov Dmitry Yarotsky 16 50 0 05 Sep 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Hernández-Lobato Daniel Hernández-Lobato 20 113 0 05 Sep 2016
Neural Network Architecture Optimization through Submodularity and Supermodularity Junqi Jin Ziang Yan Kun Fu Nan Jiang Changshui Zhang 22 11 0 01 Sep 2016
Optimizing Recurrent Neural Networks Architectures under Time Constraints Junqi Jin Ziang Yan Kun Fu Nan Jiang Changshui Zhang 22 2 0 29 Aug 2016
Efficient Continuous Relaxations for Dense CRF Alban Desmaison Rudy Bunel Pushmeet Kohli Philip Torr M. P. Kumar 32 27 0 22 Aug 2016
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations J. Herten Ivo Couckuyt D. Deschrijver T. Dhaene 12 2 0 16 Aug 2016
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training Ilija Ilievski Jiashi Feng AAML 16 1 0 31 Jul 2016
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool Randal S. Olson J. Moore AI4CE 14 12 0 29 Jul 2016
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates Ilija Ilievski Taimoor Akhtar Jiashi Feng C. Shoemaker 24 150 0 28 Jul 2016
Global Continuous Optimization with Error Bound and Fast Convergence Kenji Kawaguchi Y. Maruyama Xiaoyu Zheng 4 24 0 17 Jul 2016
Multi-Step Bayesian Optimization for One-Dimensional Feasibility Determination J. M. Cashore Lemuel Kumarga P. Frazier 19 7 0 11 Jul 2016
Beating level-set methods for 3D seismic data interpolation: a primal-dual alternating approach Rajiv Kumar Oscar Lopez Damek Davis Aleksandr Aravkin Felix J. Herrmann 35 4 0 09 Jul 2016
Applying Deep Learning to the Newsvendor Problem Afshin Oroojlooyjadid L. Snyder Martin Takáč OOD 15 128 0 07 Jul 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks Corinna Cortes X. Gonzalvo Vitaly Kuznetsov M. Mohri Scott Yang 29 282 0 05 Jul 2016
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems Pooyan Jamshidi G. Casale TPM 11 116 0 21 Jun 2016
DecomposeMe: Simplifying ConvNets for End-to-End Learning J. Álvarez L. Petersson 19 48 0 17 Jun 2016
Finite-time Analysis for the Knowledge-Gradient Policy Yingfei Wang Warrren B Powell 20 7 0 15 Jun 2016
Shallow Discourse Parsing Using Distributed Argument Representations and Bayesian Optimization Akanksha Jacob Eisenstein BDL 16 1 0 14 Jun 2016
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs Stefan Hadjis Ce Zhang Ioannis Mitliagkas Dan Iter Christopher Ré 20 65 0 14 Jun 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu P. Frazier ODL BDL 11 223 0 14 Jun 2016
Automatic Text Scoring Using Neural Networks Dimitrios Alikaniotis H. Yannakoudakis Marek Rei 11 257 0 14 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 15 252 0 06 Jun 2016
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian Victor Picheny R. Gramacy Stefan M. Wild Sébastien Le Digabel 13 91 0 31 May 2016
Neural Semantic Role Labeling with Dependency Path Embeddings Michael Roth Mirella Lapata 17 189 0 24 May 2016
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures Laura Deming S. Targ Nate Sauder Diogo Almeida Chun Jimmie Ye GNN 35 14 0 23 May 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 35 545 0 23 May 2016
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 24 25 0 23 May 2016
Bayesian Hyperparameter Optimization for Ensemble Learning Julien-Charles Levesque Christian Gagné R. Sabourin BDL 16 48 0 20 May 2016
Evaluation System for a Bayesian Optimization Service Ian Dewancker M. McCourt Scott C. Clark Patrick Hayes A. Johnson George Ke 14 13 0 19 May 2016
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov Manaal Faruqui Wang Ling B. MacWhinney Chris Dyer 34 89 0 12 May 2016
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction Zeming Lin Jack Lanchantin Yanjun Qi 3DV 21 43 0 10 May 2016
Classification of Human Whole-Body Motion using Hidden Markov Models Matthias Plappert 13 1 0 05 May 2016
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets Yunjie Liu Evan Racah P. Prabhat Joaquin Correa A. Khosrowshahi D. Lavers K. Kunkel M. Wehner W. Collins AI4Cl 25 350 0 04 May 2016