Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Orthogonally Decoupled Variational Gaussian Processes Hugh Salimbeni Ching-An Cheng Byron Boots M. Deisenroth 19 43 0 24 Sep 2018
Fighting Redundancy and Model Decay with Embeddings Dan Shiebler Luca Belli Jay Baxter Hanchen Xiong A. Tayal 22 4 0 18 Sep 2018
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network K. Nishida H. Aguirre Shota Saito Shinichi Shirakawa Youhei Akimoto 16 1 0 18 Sep 2018
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points Krishnakumar Balasubramanian Saeed Ghadimi ODL 22 100 0 17 Sep 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 19 45 0 14 Sep 2018
Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms Andreea Anghel N. Papandreou Thomas Parnell Alessandro De Palma H. Pozidis 17 51 0 12 Sep 2018
Gait learning for soft microrobots controlled by light fields Alexander von Rohr Sebastian Trimpe A. Marco P. Fischer S. Palagi 22 16 0 10 Sep 2018
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization Gowtham Muniraju B. Kailkhura Jayaraman J. Thiagarajan P. Bremer C. Tepedelenlioğlu A. Spanias 22 10 0 05 Sep 2018
A new Taxonomy of Continuous Global Optimization Algorithms Jörg Stork A. E. Eiben T. Bartz-Beielstein 20 33 0 27 Aug 2018
Deep Learning: Computational Aspects Nicholas G. Polson Vadim Sokolov PINN BDL AI4CE 29 14 0 26 Aug 2018
Adaptive Tuning Of Hamiltonian Monte Carlo Within Sequential Monte Carlo Alexander K. Buchholz Nicolas Chopin Pierre E. Jacob 32 33 0 23 Aug 2018
Neural Architecture Optimization Renqian Luo Fei Tian Tao Qin Enhong Chen Tie-Yan Liu 3DV 37 649 0 22 Aug 2018
On a New Improvement-Based Acquisition Function for Bayesian Optimization Umberto Noè D. Husmeier 13 21 0 21 Aug 2018
Optimizing Deep Neural Network Architecture: A Tabu Search Based Approach Tarun Kumar Gupta Khalid Raza 9 60 0 17 Aug 2018
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso C. Rasmussen Laurence Aitchison BDL UQCV 20 268 0 16 Aug 2018
OBOE: Collaborative Filtering for AutoML Model Selection Chengrun Yang Yuji Akimoto Dae Won Kim Madeleine Udell 21 100 0 09 Aug 2018
Data-driven polynomial chaos expansion for machine learning regression Emiliano Torre S. Marelli P. Embrechts Bruno Sudret 31 130 0 09 Aug 2018
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome B. Azarkhalili A. Saberi H. Chitsaz A. Sharifi-Zarchi AI4CE 15 0 0 07 Aug 2018
Designing Adaptive Neural Networks for Energy-Constrained Image Classification Dimitrios Stamoulis Ting-Wu Chin Anand P. Krishnan Haocheng Fang S. Sajja Mitchell Bognar Diana Marculescu 6 62 0 05 Aug 2018
Efficient Progressive Neural Architecture Search Juan-Manuel Perez-Rua M. Baccouche S. Pateux 16 44 0 01 Aug 2018
Is One Hyperparameter Optimizer Enough? Huy Tu V. Nair 18 15 0 29 Jul 2018
MaskConnect: Connectivity Learning by Gradient Descent Karim Ahmed Lorenzo Torresani 30 49 0 28 Jul 2018
Learning to guide task and motion planning using score-space representation Beomjoon Kim Zi Wang L. Kaelbling Tomas Lozano-Perez 27 90 0 26 Jul 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 24 99 0 24 Jul 2018
Auto-adaptive Resonance Equalization using Dilated Residual Networks M. Grachten Emmanuel Deruty Alexandre Tanguy 4 2 0 23 Jul 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Tobias Hinz Nicolás Navarro-Guerrero S. Magg S. Wermter 27 104 0 19 Jul 2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search Arber Zela Aaron Klein Stefan Falkner Frank Hutter 35 159 0 18 Jul 2018
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 42 884 0 13 Jul 2018
Automatic Gradient Boosting Janek Thomas Stefan Coors B. Bischl 24 23 0 10 Jul 2018
A Tutorial on Bayesian Optimization P. Frazier GP 48 1,746 0 08 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 43 1,073 0 04 Jul 2018
Restructuring Batch Normalization to Accelerate CNN Training Wonkyung Jung Daejin Jung and Byeongho Kim Sunjung Lee Wonjong Rhee Jung Ho Ahn 24 62 0 04 Jul 2018
Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization Dipti Jasrasaria Edward O. Pyzer-Knapp 19 21 0 03 Jul 2018
New Heuristics for Parallel and Scalable Bayesian Optimization Ran Rubin 15 0 0 01 Jul 2018
Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations Jennifer B. Erway J. Griffin Roummel F. Marcia Riadh Omheni 16 24 0 01 Jul 2018
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks Irene Córdoba-Sánchez E.C. Garrido-Merchán Daniel Hernández-Lobato C. Bielza P. Larrañaga TPM 12 11 0 28 Jun 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 40 795 0 27 Jun 2018
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 35 15 0 26 Jun 2018
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 32 135 0 22 Jun 2018
On the Robustness of Interpretability Methods David Alvarez-Melis Tommi Jaakkola 30 522 0 21 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 56 933 0 20 Jun 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 24 21 0 20 Jun 2018
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models Henry B. Moss David S. Leslie Paul Rayson 9 32 0 19 Jun 2018
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images S. Deitsch C. Buerhop‐Lutz E. Sovetkin A. Steland Andreas Maier F. Gallwitz Christian Riess 24 62 0 18 Jun 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 33 18 0 18 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 112 718 0 13 Jun 2018
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 38 44 0 12 Jun 2018
Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun Guodong Zhang Chaoqi Wang Wenyuan Zeng Jiaman Li Roger C. Grosse BDL 23 69 0 12 Jun 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 37 221 0 11 Jun 2018
Smallify: Learning Network Size while Training Guillaume Leclerc Manasi Vartak Raul Castro Fernandez Tim Kraska Samuel Madden 14 13 0 10 Jun 2018