Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

47 / 2,247 papers shown

Title
Hot Swapping for Online Adaptation of Optimization Hyperparameters Kevin Bache D. DeCoste Padhraic Smyth OnRL 30 8 0 20 Dec 2014
POPE: Post Optimization Posterior Evaluation of Likelihood Free Models Edward Meeds Michael Chiang Mary Lee Olivier Cinquin John S. Lowengrub Max Welling 27 0 0 09 Dec 2014
Memory Bounded Deep Convolutional Networks Maxwell D. Collins Pushmeet Kohli 25 172 0 03 Dec 2014
Easy Hyperparameter Search Using Optunity Marc Claesen Jaak Simm D. Popovic Yves Moreau B. De Moor 35 78 0 02 Dec 2014
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 41 84 0 24 Nov 2014
Scale-Invariant Convolutional Neural Networks Yichong Xu Tianjun Xiao Jiaxing Zhang Kuiyuan Yang Zheng-Wei Zhang 59 138 0 24 Nov 2014
Heteroscedastic Treed Bayesian Optimisation Yannis Assael Ziyun Wang Bobak Shahriari Nando de Freitas 33 48 0 27 Oct 2014
Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces Kevin Swersky David Duvenaud Jasper Snoek Frank Hutter Michael A. Osborne BDL 96 79 0 14 Sep 2014
Normalized Online Learning Stéphane Ross Paul Mineiro John Langford 41 69 0 09 Aug 2014
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning T. Nickson Michael A. Osborne S. Reece Stephen J. Roberts 29 25 0 30 Jul 2014
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 31 1,025 0 13 Jul 2014
Recommending Learning Algorithms and Their Associated Hyperparameters Michael R. Smith Logan Mitchell C. Giraud-Carrier T. Martinez 21 19 0 07 Jul 2014
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters Ziyun Wang Nando de Freitas 41 89 0 30 Jun 2014
An Entropy Search Portfolio for Bayesian Optimization Bobak Shahriari Ziyun Wang Matthew W. Hoffman Alexandre Bouchard-Coté Nando de Freitas 34 57 0 18 Jun 2014
Freeze-Thaw Bayesian Optimization Kevin Swersky Jasper Snoek Ryan P. Adams 48 265 0 16 Jun 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 29 639 0 10 Jun 2014
Multi-task Neural Networks for QSAR Predictions George E. Dahl Navdeep Jaitly Ruslan Salakhutdinov 62 277 0 04 Jun 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits Ruben Martinez-Cantin 33 284 0 29 May 2014
A Hybrid Monte Carlo Architecture for Parameter Optimization James A. Brofos TPM 26 0 0 10 May 2014
PCANet: A Simple Deep Learning Baseline for Image Classification? Tsung-Han Chan Kui Jia Shenghua Gao Jiwen Lu Zinan Zeng Yi Ma 56 1,496 0 14 Apr 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 41 441 0 22 Mar 2014
The Potential Benefits of Filtering Versus Hyper-Parameter Optimization Michael R. Smith T. Martinez C. Giraud-Carrier 28 2 0 13 Mar 2014
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014
Exploiting the Statistics of Learning and Inference Max Welling 36 5 0 26 Feb 2014
No more meta-parameter tuning in unsupervised sparse feature learning Adriana Romero Petia Radeva C. Gatta 28 8 0 24 Feb 2014
Student-t Processes as Alternatives to Gaussian Processes Amar Shah A. Wilson Zoubin Ghahramani GP 36 202 0 18 Feb 2014
An Algorithmic Framework for Computing Validation Performance Bounds by Using Suboptimal Models Yoshiki Suzuki Kohei Ogawa Yuki Shinmura Ichiro Takeuchi 30 0 0 10 Feb 2014
Input Warping for Bayesian Optimization of Non-stationary Functions Jasper Snoek Kevin Swersky R. Zemel Ryan P. Adams 43 235 0 05 Feb 2014
Sequential Model-Based Ensemble Optimization Alexandre Lacoste Hugo Larochelle François Laviolette M. Marchand BDL 36 33 0 04 Feb 2014
GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation Edward Meeds Max Welling 50 123 0 13 Jan 2014
Improving Deep Neural Networks with Probabilistic Maxout Units Jost Tobias Springenberg Martin Riedmiller BDL OOD 50 101 0 20 Dec 2013
Correlation-based construction of neighborhood and edge features Balázs Kégl 32 0 0 20 Dec 2013
Network In Network Min-Bin Lin Qiang Chen Shuicheng Yan 51 6,249 0 16 Dec 2013
Understanding Deep Architectures using a Recursive Convolutional Network David Eigen J. Rolfe Rob Fergus Yann LeCun AI4CE FAtt 51 146 0 06 Dec 2013
Gaussian Process Optimization with Mutual Information E. Contal Vianney Perchet Nicolas Vayatis 32 81 0 19 Nov 2013
From Maxout to Channel-Out: Encoding Information on Sparse Pathways Qi Wang J. JáJá BDL 53 14 0 18 Nov 2013
BayesOpt: A Library for Bayesian optimization with Robotics Applications Ruben Martinez-Cantin 38 0 0 03 Sep 2013
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be? James Bergstra David D. Cox 3DH 43 23 0 14 Jun 2013
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 50 237 0 02 Jun 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture Trevor Campbell Miao Liu Brian Kulis Jonathan P. How Lawrence Carin 30 61 0 28 May 2013
Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization Matthew W. Hoffman Bobak Shahriari Nando de Freitas 21 15 0 27 Mar 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers Ziyun Wang S. Mohamed Nando de Freitas 58 56 0 25 Feb 2013
Maxout Networks Ian Goodfellow David Warde-Farley M. Berk Mirza Aaron Courville Yoshua Bengio OOD 113 2,176 0 18 Feb 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 51 435 0 09 Jan 2013
Learning Parameterized Skills Bruno C. da Silva George Konidaris A. Barto 49 207 0 27 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 29 12,335 0 24 Jun 2012
Fast Cross-Validation via Sequential Testing Tammo Krueger Danny Panknin M. Braun 43 51 0 11 Jun 2012