Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning Hongwei Guo X. Zhuang Timon Rabczuk 25 82 0 03 Oct 2020
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records Sarah Alnegheimish Najat Alrashed Faisal Aleissa Shahad Althobaiti Dongyu Liu Mansour Alsaleh K. Veeramachaneni OOD 16 9 0 01 Oct 2020
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters Isabelly Rocha Nathaniel Morris L. Chen Pascal Felber Robert Birke V. Schiavoni 16 10 0 01 Oct 2020
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control Rel Guzman Rafael Oliveira F. Ramos 29 15 0 01 Oct 2020
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation Yassine Yaakoubi F. Soumis Simon Lacoste-Julien AI4TS 29 24 0 30 Sep 2020
Reality-assisted evolution of soft robots through large-scale physical experimentation: a review Toby Howison Simon Hauser Josie Hughes F. Iida 11 34 0 29 Sep 2020
Physics-Constrained Predictive Molecular Latent Space Discovery with Graph Scattering Variational Autoencoder Navid Shervani-Tabar N. Zabaras BDL DRL 26 3 0 29 Sep 2020
Neural Model-based Optimization with Right-Censored Observations Katharina Eggensperger Kai Haase Philip Muller Marius Lindauer Frank Hutter 39 9 0 29 Sep 2020
Benchmarking deep inverse models over time, and the neural-adjoint method Simiao Ren Willie J. Padilla Jordan M. Malof BDL PINN 30 42 0 27 Sep 2020
fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser David Calhas Rui Henriques AI4CE 37 2 0 26 Sep 2020
Hidden Incentives for Auto-Induced Distributional Shift David M. Krueger Tegan Maharaj Jan Leike 13 49 0 19 Sep 2020
Real-Time Optimization Meets Bayesian Optimization and Derivative-Free Optimization: A Tale of Modifier Adaptation Ehecatl Antonio del Rio Chanona Panagiotis Petsagkourakis E. Bradford J. Graciano Benoît Chachuat 6 3 0 18 Sep 2020
Utilizing remote sensing data in forest inventory sampling via Bayesian optimization J. Pohjankukka S. Tuominen J. Heikkonen 8 1 0 17 Sep 2020
Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks S. Vaze C. Foley M. Seddiq Alexey Unagaev N. Efremova 18 1 0 15 Sep 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili Kia Khezeli Victor Picheny GP 34 128 0 15 Sep 2020
Utility-Optimized Synthesis of Differentially Private Location Traces Mehmet Emre Gursoy Vivekanand Rajasekar Ling Liu 23 11 0 14 Sep 2020
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning Yuxi Huan Fan Wu Michail Basios Leslie Kanthan Lingbo Li Baowen Xu VLM 19 4 0 10 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation System K. Bhaskar D. Kundur Y. Lawryshyn BDL 22 3 0 08 Sep 2020
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling Sophie Hao S. Mendelsohn Rachel Sterneck Randi Martinez Robert Frank 19 46 0 08 Sep 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces Hung The Tran Sunil R. Gupta Santu Rana Huong Ha Svetha Venkatesh 37 6 0 05 Sep 2020
Towards the Development of Entropy-Based Anomaly Detection in an Astrophysics Simulation Drew Schmidt B. Messer M. T. Young Michael A. Matheson 9 0 0 05 Sep 2020
On the implementation of a global optimization method for mixed-variable problems G. Nannicini 16 19 0 04 Sep 2020
Sample-Efficient Automated Deep Reinforcement Learning Jörg Franke Gregor Koehler André Biedenkapp Frank Hutter 36 39 0 03 Sep 2020
Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects Steffen Herbold Tobias Haar 25 10 0 03 Sep 2020
Scalable computation of predictive probabilities in probit models with Gaussian process priors JIAN-PENG Cao Daniele Durante M. Genton 40 11 0 03 Sep 2020
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference Mostafa Mahmoud Isak Edo Vivancos Ali Hadi Zadeh Omar Mohamed Awad Gennady Pekhimenko Jorge Albericio Andreas Moshovos MoE 29 59 0 01 Sep 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 40 131 0 01 Sep 2020
Machine learning thermal circuit network model for thermal design optimization of electronic circuit board layout with transient heating chips Daiki Otaki Hirofumi Nonaka N. Yamada 14 28 0 28 Aug 2020
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning Aurick Qiao Sang Keun Choe Suhas Jayaram Subramanya Willie Neiswanger Qirong Ho Hao Zhang G. Ganger Eric Xing VLM 16 180 0 27 Aug 2020
How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms Jacques Wainer Pablo Fonseca 19 35 0 26 Aug 2020
Deep Neural Network based Wide-Area Event Classification in Power Systems I. Niazazari Amir Ghasemkhani Yunchuan Liu Shuchismita Biswas H. Livani Lei Yang Virgilio Centeno 9 0 0 24 Aug 2020
No-regret Algorithms for Multi-task Bayesian Optimization Sayak Ray Chowdhury Aditya Gopalan 19 15 0 20 Aug 2020
Automated Machine Learning -- a brief review at the end of the early years Hugo Jair Escalante 16 26 0 19 Aug 2020
Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization Rohan Anand Joeran Beel 19 18 0 19 Aug 2020
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models Aryan Deshwal Syrine Belakaria J. Doppa 27 13 0 18 Aug 2020
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks Shusuke Kobayashi S. Shirayama 32 2 0 18 Aug 2020
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 23 6 0 16 Aug 2020
AutoSimulate: (Quickly) Learning Synthetic Data Generation Harkirat Singh Behl A. G. Baydin Ran Gal Philip Torr Vibhav Vineet 18 23 0 16 Aug 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 37 99 0 14 Aug 2020
Black Magic in Deep Learning: How Human Skill Impacts Network Training Kanav Anand Ziqi Wang Marco Loog Jan van Gemert HAI 15 16 0 13 Aug 2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units linda Qiao Yanbo Xu Alind Khare Satria Priambada K. Maher Alaa Aljiffry Jimeng Sun Alexey Tumanov OOD 31 84 0 10 Aug 2020
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 22 163 0 09 Aug 2020
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings Avisek Naug Marcos Quiñones-Grueiro G. Biswas CLL 22 10 0 04 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 52 109 0 04 Aug 2020
Bayesian Optimization for Selecting Efficient Machine Learning Models Lidan Wang Franck Dernoncourt Trung Bui 11 7 0 02 Aug 2020
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions Ankit Ramchandani Chao Fan Ali Mostafavi 17 76 0 31 Jul 2020
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters R. G. Mantovani André Luis Debiaso Rossi Edesio Alcobaça J. C. Gertrudes Sylvio Barbon Junior A. Carvalho 29 11 0 31 Jul 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 45 2,041 0 30 Jul 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 26 31 0 30 Jul 2020
Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction Maxime Petit Emmanuel Dellandrea Liming Chen 9 3 0 30 Jul 2020