Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions Jean Feng N. Simon 16 20 0 28 Mar 2017
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization Brett W. Israelsen Nisar R. Ahmed Kenneth Center R. Green W. Bennett 19 1 0 27 Mar 2017
Gaussian Processes with Context-Supported Priors for Active Object Localization A. Rhodes Jordan M. Witte Melanie Mitchell Bruno Jedynak GP 18 2 0 25 Mar 2017
Distribution of Gaussian Process Arc Lengths J. Bewsher A. Tosi Michael A. Osborne Stephen J. Roberts 27 3 0 23 Mar 2017
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm Hiva Ghanbari K. Scheinberg TPM 11 26 0 20 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 21 220 0 18 Mar 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 37 9 0 15 Mar 2017
Online Learning Rate Adaptation with Hypergradient Descent A. G. Baydin R. Cornish David Martínez-Rubio Mark W. Schmidt Frank Wood ODL 30 242 0 14 Mar 2017
Bayesian Optimization with Gradients Jian Wu Matthias Poloczek A. Wilson P. Frazier 26 209 0 13 Mar 2017
Practical Bayesian Optimization for Variable Cost Objectives Mark McLeod Michael A. Osborne Stephen J. Roberts 25 32 0 13 Mar 2017
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions B. Bischl Jakob Richter Jakob Bossek Daniel Horn Janek Thomas Michel Lang 27 168 0 09 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 35 124 0 06 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning Lidong Bing William W. Cohen Bhuwan Dhingra 22 2 0 05 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 16 1,627 0 03 Mar 2017
Learning to Optimize Neural Nets Ke Li Jitendra Malik 23 130 0 01 Mar 2017
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation V. Ithapu Sathya Ravi Vikas Singh AI4CE 24 9 0 28 Feb 2017
Embarrassingly Parallel Inference for Gaussian Processes M. Zhang Sinead Williamson 26 24 0 27 Feb 2017
Online Meta-learning by Parallel Algorithm Competition Stefan Elfwing E. Uchibe Kenji Doya 31 22 0 24 Feb 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 334 10,621 0 19 Feb 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 26 411 0 13 Feb 2017
Adaptive and Resilient Soft Tensegrity Robots John Rieffel Jean-Baptiste Mouret 6 5 0 10 Feb 2017
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming Andrew Sohn Randal S. Olson J. Moore LM&MA 21 23 0 06 Feb 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering Hongteng Xu H. Zha 33 71 0 31 Jan 2017
Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection H. Bertrand M. Perrot R. Ardon Isabelle Bloch 16 9 0 16 Jan 2017
Meta-Unsupervised-Learning: A supervised approach to unsupervised learning Vikas K. Garg Adam Tauman Kalai SSL 19 5 0 29 Dec 2016
Bayesian Optimization with Shape Constraints Michael Jauch Víctor Pena 14 11 0 28 Dec 2016
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA Manuel Martin Salvador M. Budka Bogdan Gabrys TPM 21 25 0 28 Dec 2016
Improving Human-Machine Cooperative Visual Search With Soft Highlighting R. T. Kneusel Michael C. Mozer 21 26 0 24 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale F. Iandola 3DV 26 18 0 20 Dec 2016
On the Potential of Simple Framewise Approaches to Piano Transcription Rainer Kelz Matthias Dorfer Filip Korzeniowski Sebastian Böck A. Arzt Gerhard Widmer 30 124 0 15 Dec 2016
Bayesian Optimization for Machine Learning : A Practical Guidebook Ian Dewancker M. McCourt Scott C. Clark 11 61 0 14 Dec 2016
Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots Brett W. Israelsen Nisar R. Ahmed Kenneth Center R. Green W. Bennett 13 8 0 13 Dec 2016
Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation Samir Bhatt E. Cameron Seth R Flaxman D. Weiss David L. Smith P. Gething 21 104 0 10 Dec 2016
Knowledge Representation in Graphs using Convolutional Neural Networks Armando Vieira GNN 20 1 0 07 Dec 2016
Deep learning in color: towards automated quark/gluon jet discrimination Patrick T. Komiske E. Metodiev M. Schwartz 33 261 0 05 Dec 2016
Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers Adam McCarthy Christopher K. I. Williams 22 6 0 02 Dec 2016
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes J. Herten Ivo Couckuyt T. Dhaene GP 11 1 0 01 Dec 2016
Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization Valentin Dalibard Michael Schaarschmidt Eiko Yoneki 12 2 0 01 Dec 2016
An Artificial Agent for Robust Image Registration Rui Liao S. Miao Pierre de Tournemire Sasa Grbic A. Kamen Tommaso Mansi Dorin Comaniciu MedIm 31 196 0 30 Nov 2016
The observer-assisted method for adjusting hyper-parameters in deep learning algorithms Maciej Wielgosz 14 1 0 30 Nov 2016
Capacity and Trainability in Recurrent Neural Networks Jasmine Collins Jascha Narain Sohl-Dickstein David Sussillo 35 203 0 29 Nov 2016
Efficient Linear Programming for Dense CRFs Thalaiyasingam Ajanthan Alban Desmaison Rudy Bunel Mathieu Salzmann Philip Torr M. P. Kumar 11 16 0 29 Nov 2016
Limbo: A Fast and Flexible Library for Bayesian Optimization Antoine Cully Konstantinos Chatzilygeroudis Federico Allocati Jean-Baptiste Mouret 13 18 0 22 Nov 2016
GaDei: On Scale-up Training As A Service For Deep Learning Wei Zhang Minwei Feng Yunhui Zheng Yufei Ren Yandong Wang ... Peng Liu Bing Xiang Li Zhang Bowen Zhou Fei Wang ALM 24 10 0 18 Nov 2016
Compensating for Large In-Plane Rotations in Natural Images Lokesh Boominathan Suraj Srinivas R. Venkatesh Babu 22 6 0 17 Nov 2016
Bayesian optimization of hyper-parameters in reservoir computing J. Yperman Thijs Becker TPM 18 31 0 16 Nov 2016
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes Tarun Kathuria Amit Deshpande Pushmeet Kohli GP 22 103 0 13 Nov 2016
Learning to Learn without Gradient Descent by Gradient Descent Yutian Chen Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Timothy Lillicrap Matt Botvinick Nando de Freitas 21 42 0 11 Nov 2016