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
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables Nils Y. Hammerla Shane Halloran T. Plötz HAI BDL 12 878 0 29 Apr 2016
A Probabilistic Adaptive Search System for Exploring the Face Space Andres G. Abad Luis I. Reyes Castro CVBM 4 0 0 28 Apr 2016
CMA-ES for Hyperparameter Optimization of Deep Neural Networks I. Loshchilov Frank Hutter BDL 6 196 0 25 Apr 2016
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization Daniel Beck Adria de Gispert Gonzalo Iglesias Aurelien Waite Bill Byrne 11 5 0 18 Apr 2016
Latent Model Ensemble with Auto-localization Miao Sun T. Han Xun Xu Ming-Chang Liu Ahmad Khodayari-Rostamabad SSL 12 6 0 15 Apr 2016
Online Optimization of Smoothed Piecewise Constant Functions Vincent Cohen-Addad Varun Kanade 14 25 0 07 Apr 2016
Bayesian Optimization with Exponential Convergence Kenji Kawaguchi L. Kaelbling Tomás Lozano-Pérez 23 106 0 05 Apr 2016
Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions Laurens Bliek H. Verstraete M. Verhaegen S. Wahls 10 38 0 31 Mar 2016
A Stratified Analysis of Bayesian Optimization Methods Ian Dewancker M. McCourt Scott C. Clark Patrick Hayes A. Johnson George Ke 15 39 0 31 Mar 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin G. Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 20 2,292 0 21 Mar 2016
Deep Learning in Bioinformatics Seonwoo Min Byunghan Lee Sungroh Yoon AI4CE 3DV 36 1,351 0 21 Mar 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 2016
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science Randal S. Olson Nathan Bartley Ryan J. Urbanowicz J. Moore 9 521 0 20 Mar 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? G. Urban Krzysztof J. Geras Samira Ebrahimi Kahou Ozlem Aslan Shengjie Wang R. Caruana Abdel-rahman Mohamed Matthai Philipose Matthew Richardson 20 47 0 17 Mar 2016
Unscented Bayesian Optimization for Safe Robot Grasping José Nogueira Ruben Martinez-Cantin Alexandre Bernardino L. Jamone 19 71 0 07 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between Yani Andrew Ioannou D. Robertson Darko Zikic Peter Kontschieder Jamie Shotton Matthew Brown A. Criminisi 18 88 0 03 Mar 2016
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 41 198 0 01 Mar 2016
Learning values across many orders of magnitude H. V. Hasselt A. Guez Matteo Hessel Volodymyr Mnih David Silver 17 169 0 24 Feb 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 27 7,417 0 24 Feb 2016
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines Yuyu Zhang M. T. Bahadori Hang Su Jimeng Sun 24 34 0 20 Feb 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 24 87 0 16 Feb 2016
Parallel Bayesian Global Optimization of Expensive Functions Jialei Wang Scott C. Clark Eric Liu P. Frazier 13 159 0 16 Feb 2016
Deep Learning on FPGAs: Past, Present, and Future Griffin Lacey Graham W. Taylor S. Areibi GNN 13 180 0 13 Feb 2016
A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis Hao Peng Charles Sutton AI4TS 27 581 0 09 Feb 2016
Stratified Bayesian Optimization Saul Toscano-Palmerin P. Frazier 12 5 0 07 Feb 2016
Minimum Regret Search for Single- and Multi-Task Optimization J. H. Metzen 18 20 0 02 Feb 2016
Automating biomedical data science through tree-based pipeline optimization Randal S. Olson Ryan J. Urbanowicz Peter C. Andrews Nicole A. Lavender L. C. Kidd J. Moore AI4CE 33 311 0 28 Jan 2016
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks Evan Racah Seyoon Ko Peter Sadowski W. Bhimji C. Tull Sang-Yun Oh Pierre Baldi P. Prabhat 40 32 0 28 Jan 2016
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett V. Cevher 66 95 0 25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 215 0 25 Jan 2016
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction Weinan Zhang Tianming Du Jun Wang AI4CE 13 492 0 11 Jan 2016
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks Jie Fu Hongyin Luo Jiashi Feng K. H. Low Tat-Seng Chua 24 27 0 05 Jan 2016
The Role of Context Types and Dimensionality in Learning Word Embeddings Oren Melamud David McClosky Siddharth Patwardhan Joey Tianyi Zhou 29 123 0 05 Jan 2016
Selecting Near-Optimal Learners via Incremental Data Allocation Ashish Sabharwal Horst Samulowitz Gerald Tesauro 24 63 0 31 Dec 2015
Probabilistic Programming with Gaussian Process Memoization Ulrich Schaechtle Ben Zinberg Alexey Radul Kostas Stathis Vikash K. Mansinghka GP 27 11 0 17 Dec 2015
Blockout: Dynamic Model Selection for Hierarchical Deep Networks Calvin Murdock Zerui Li Howard Zhou Tom Duerig OOD BDL 9 47 0 16 Dec 2015
A General Framework for Constrained Bayesian Optimization using Information-based Search José Miguel Hernández-Lobato M. Gelbart Ryan P. Adams Matthew W. Hoffman Zoubin Ghahramani 27 162 0 30 Nov 2015
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization R. Lorenz R. Monti I. Violante Aldo A. Faisal C. Anagnostopoulos R. Leech Giovanni Montana 23 25 0 24 Nov 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 32 159 0 23 Nov 2015
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters Jelena Luketina Mathias Berglund Klaus Greff T. Raiko 27 173 0 20 Nov 2015
Modeling the Temporal Nature of Human Behavior for Demographics Prediction Bjarke Felbo P. Sundsøy Alex Pentland Sune Lehmann Yves-Alexandre de Montjoye 22 14 0 20 Nov 2015
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 40 27 0 20 Nov 2015
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 24 131 0 19 Nov 2015
Learning Representations Using Complex-Valued Nets Andy M. Sarroff Victor Shepardson M. Casey 16 16 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 34 2,341 0 19 Nov 2015
Online Batch Selection for Faster Training of Neural Networks I. Loshchilov Frank Hutter ODL 37 296 0 19 Nov 2015
Predicting online user behaviour using deep learning algorithms Armando Vieira 11 45 0 19 Nov 2015
Learning Neural Network Architectures using Backpropagation Suraj Srinivas R. Venkatesh Babu AI4CE 13 30 0 17 Nov 2015
Bayesian Optimization with Dimension Scheduling: Application to Biological Systems Doniyor Ulmasov C. Baroukh Benoît Chachuat M. Deisenroth Ruth Misener 21 40 0 17 Nov 2015
Deep Feature Learning for EEG Recordings Sebastian Stober Avital Sternin A. Owen Jessica A. Grahn 19 130 0 13 Nov 2015