Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

50 / 2,258 papers shown

Title
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics A. Racca Luca Magri OOD AAML 26 62 0 09 Feb 2021
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs Antonio Candelieri Francesco Archetti 32 2 0 09 Feb 2021
Directed particle swarm optimization with Gaussian-process-based function forecasting Johannes Jakubik Adrian Binding Stefan Feuerriegel 11 24 0 08 Feb 2021
Hyperparameter Optimization with Differentiable Metafeatures H. Jomaa Lars Schmidt-Thieme Josif Grabocka AI4CE 31 3 0 07 Feb 2021
GIBBON: General-purpose Information-Based Bayesian OptimisatioN Henry B. Moss David S. Leslie Javier I. González Paul Rayson 41 43 0 05 Feb 2021
AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs Srivatsan Krishnan Zishen Wan K. Bharadwaj P. Whatmough Aleksandra Faust Sabrina M. Neuman Gu-Yeon Wei David Brooks Vijay Janapa Reddi 26 3 0 05 Feb 2021
Apollo: Transferable Architecture Exploration Amir Yazdanbakhsh Christof Angermueller Berkin Akin Yanqi Zhou Albin Jones Milad Hashemi Kevin Swersky S. Chatterjee Ravi Narayanaswami James Laudon 27 24 0 02 Feb 2021
Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study B. Grimstad M. Hotvedt Anders T. Sandnes O. Kolbjørnsen Lars Imsland 54 21 0 02 Feb 2021
A probabilistic Taylor expansion with Gaussian processes Toni Karvonen Jon Cockayne Filip Tronarp Simo Särkkä GP 9 0 0 01 Feb 2021
Synthetic Dataset Generation of Driver Telematics Banghee So J. Boucher Emiliano A. Valdez 46 25 0 30 Jan 2021
Hyper-optimization with Gaussian Process and Differential Evolution Algorithm Jakub Klus Pavel Grunt Martin Dobrovolný GP 14 1 0 26 Jan 2021
Artificial Intelligence for Satellite Communication: A Review Fares Fourati Mohamed-Slim Alouini 40 108 0 25 Jan 2021
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation S. Basak S. Petit Julien Bect E. Vázquez 28 14 0 24 Jan 2021
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art Youngmin Kim Richard Allmendinger Manuel López-Ibánez OffRL 301 27 0 23 Jan 2021
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks Yingfang Yuan Wenjun Wang George Macleod Coghill Wei Pang 32 15 0 22 Jan 2021
PyGlove: Symbolic Programming for Automated Machine Learning Daiyi Peng Xuanyi Dong Esteban Real Mingxing Tan Yifeng Lu Hanxiao Liu Gabriel Bender Adam Kraft Chen Liang Quoc V. Le 33 31 0 21 Jan 2021
Neural-based Modeling for Performance Tuning of Spark Data Analytics Khaled Zaouk Fei Song Chenghao Lyu Y. Diao 9 2 0 20 Jan 2021
A Similarity Measure of Gaussian Process Predictive Distributions Lucia Asencio-Martín Eduardo C. Garrido-Merchán 9 1 0 20 Jan 2021
Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba Josif Grabocka BDL 49 69 0 19 Jan 2021
Deep Reinforcement Learning for Active High Frequency Trading Antonio Briola J. Turiel Riccardo Marcaccioli Alvaro Cauderan T. Aste AIFin AI4TS 18 33 0 18 Jan 2021
TREGO: a Trust-Region Framework for Efficient Global Optimization Youssef Diouane Victor Picheny Rodolophe Le Riche Alexandre Scotto Di Perrotolo 43 33 0 18 Jan 2021
Cost-Efficient Online Hyperparameter Optimization Jingkang Wang Mengye Ren Ilija Bogunovic Yuwen Xiong R. Urtasun 50 2 0 17 Jan 2021
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems Yigit Can Alparslan E. Moyer I. Isozaki Daniel Ethan Schwartz Adam Dunlop Shesh Dave Edward J. Kim MQ AI4CE 48 6 0 16 Jan 2021
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms Mengying Guo Tao Yi Yuqing Zhu Yungang Bao 16 9 0 16 Jan 2021
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Joey Tianyi Zhou Christopher Ré AAML OffRL OOD 161 138 0 13 Jan 2021
Airfoil GAN: Encoding and Synthesizing Airfoils for Aerodynamic Shape Optimization Yuyang Wang K. Shimada A. Farimani 32 29 0 12 Jan 2021
A Transfer Learning-based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures Yan Qin Stefan Adams Chau Yuen 44 82 0 11 Jan 2021
Machine learning classification of non-Markovian noise disturbing quantum dynamics Stefano Martina S. Gherardini Filippo Caruso 14 8 0 08 Jan 2021
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models Jeroen van Hoof Joaquin Vanschoren BDL 43 9 0 06 Jan 2021
Gauss-Legendre Features for Gaussian Process Regression Paz Fink Shustin H. Avron GP 31 11 0 04 Jan 2021
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization Ruduan Plug BDL 21 0 0 03 Jan 2021
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany Cornelius Fritz Emilio Dorigatti David Rügamer 19 21 0 03 Jan 2021
Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials S. Natarajan M. A. Caro 6 7 0 31 Dec 2020
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 35 37 0 31 Dec 2020
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 38 17 0 24 Dec 2020
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 42 16 0 23 Dec 2020
An Information-Theoretic Framework for Unifying Active Learning Problems Q. Nguyen Bryan Kian Hsiang Low Patrick Jaillet 23 17 0 19 Dec 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers Romil Bhardwaj Zhengxu Xia Ganesh Ananthanarayanan Junchen Jiang Nikolaos Karianakis Yuanchao Shu Kevin Hsieh P. Bahl Ion Stoica 27 163 0 19 Dec 2020
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization Mikita Sazanovich A. Nikolskaya Yury Belousov A. Shpilman 17 14 0 18 Dec 2020
High Dimensional Level Set Estimation with Bayesian Neural Network Huong Ha Sunil R. Gupta Santu Rana Svetha Venkatesh 51 9 0 17 Dec 2020
Image-Based Jet Analysis Michael Kagan 42 7 0 17 Dec 2020
Joint Search of Data Augmentation Policies and Network Architectures Taiga Kashima Yoshihiro Yamada Shunta Saito 3DPC 35 5 0 17 Dec 2020
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 55 16 0 15 Dec 2020
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors Shaoxiong Wang Mike Lambeta Po-wei Chou Roberto Calandra 26 137 0 15 Dec 2020
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit Alexander I. Cowen-Rivers Rasul Tutunov Ryan-Rhys Griffiths Jun Wang Haitham Bou-Ammar 24 14 0 15 Dec 2020
Active Learning for Deep Gaussian Process Surrogates Annie Sauer R. Gramacy D. Higdon GP AI4CE 25 88 0 15 Dec 2020
Mercer Features for Efficient Combinatorial Bayesian Optimization Aryan Deshwal Syrine Belakaria J. Doppa 34 32 0 14 Dec 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework Aryan Deshwal Syrine Belakaria J. Doppa Alan Fern 33 22 0 14 Dec 2020
Warm Starting CMA-ES for Hyperparameter Optimization Masahiro Nomura Shuhei Watanabe Youhei Akimoto Yoshihiko Ozaki Masaki Onishi 49 41 0 13 Dec 2020
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization Subhodip Biswas Adam D. Cobb Andreea Sistrunk Naren Ramakrishnan Brian Jalaian 21 8 0 11 Dec 2020