Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Efficient Automatic CASH via Rising Bandits Yang Li Jiawei Jiang Jinyang Gao Yingxia Shao Ce Zhang Tengjiao Wang 35 34 0 08 Dec 2020
Quantum Circuit Design Search Mohammad Pirhooshyaran T. Terlaky 21 37 0 07 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 35 74 0 07 Dec 2020
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation Gengwei Zhang Yiming Gao Hang Xu Hao Zhang Zhenguo Li Xiaodan Liang SSeg 54 5 0 07 Dec 2020
SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud Yan Li Bo An Junming Ma Donggang Cao Yasha Wang Hong Mei 14 7 0 07 Dec 2020
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes J. Vicent J. Verrelst J. P. Rivera-Caicedo Neus Sabater Jordi Munoz-Marí Gustau Camps-Valls J. Moreno 9 25 0 07 Dec 2020
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables Taehyeon Kim Jaeyeon Ahn Nakyil Kim Seyoung Yun 41 3 0 07 Dec 2020
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients Yifan Li Chao Li S. Price Carola-Bibiane Schönlieb Xi Chen 24 0 0 05 Dec 2020
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements Yang Li Yu Shen Jiawei Jiang Jinyang Gao Ce Zhang Tengjiao Wang 27 27 0 05 Dec 2020
Distributed Training and Optimization Of Neural Networks J. Vlimant Junqi Yin AI4CE 14 2 0 03 Dec 2020
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems Jianli Yu Z. Yu 11 17 0 03 Dec 2020
Machine learning prediction of critical transition and system collapse Ling-Wei Kong Hua-wei Fan C. Grebogi Y. Lai 4 84 0 02 Dec 2020
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren 34 20 0 02 Dec 2020
Deep Multi-Fidelity Active Learning of High-dimensional Outputs Shibo Li Robert M. Kirby Shandian Zhe AI4CE 20 28 0 02 Dec 2020
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration Zhengang Li Geng Yuan Wei Niu Pu Zhao Yanyu Li ... Sijia Liu Kaiyuan Yang Bin Ren Yanzhi Wang Xue Lin MQ 41 27 0 01 Dec 2020
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes Jungtaek Kim Seungjin Choi Minsu Cho 56 6 0 26 Nov 2020
All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran Simone Rossi Dimitrios Milios Maurizio Filippone OOD BDL 31 56 0 25 Nov 2020
Hyper-parameter estimation method with particle swarm optimization Yaru Li Yulai Zhang 19 6 0 24 Nov 2020
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road Xiupeng Shi Y. Wong C. Chai Michael Zhi-Feng Li Tianyi Chen Zengfeng Zeng 14 12 0 24 Nov 2020
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack Rui Shu Tianpei Xia Laurie A. Williams Tim Menzies AAML 37 16 0 23 Nov 2020
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization Gauthier Guinet Valerio Perrone Cédric Archambeau 16 14 0 23 Nov 2020
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks Marcello Serqueira Israel Mendonça Eduardo Bezerra 26 19 0 22 Nov 2020
Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility Konstantinos Kousias A. Pappas Özgü Alay A. Argyriou Michael Riegler 22 1 0 20 Nov 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 30 391 0 18 Nov 2020
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers J. Ayensa-Jiménez M. H. Doweidar J. A. Sanz-Herrera Manuel Doblaré PINN 28 1 0 17 Nov 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes Q. Hoang T. Hoang Hai Pham David P. Woodruff 16 5 0 17 Nov 2020
Treatment Allocation with Strategic Agents Evan Munro 31 6 0 12 Nov 2020
Parameter Optimization for Loop Closure Detection in Closed Environments Nils Rottmann R. Bruder Honghu Xue A. Schweikard Elmar Rueckert 16 1 0 12 Nov 2020
Building an Automated and Self-Aware Anomaly Detection System Sayan Chakraborty Smit Shah Kiumars Soltani A. Swigart Luyao Yang Kyle Buckingham AI4TS 6 7 0 10 Nov 2020
CircuitBot: Learning to Survive with Robotic Circuit Drawing X. Tan Weijie Lyu A. Rosendo SSL 14 1 0 10 Nov 2020
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 44 18 0 09 Nov 2020
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment Yu Wang Shu Jiang Weiman Lin Yu Cao Longtao Lin Jiangtao Hu Jinghao Miao Qi Luo 29 3 0 09 Nov 2020
Pathwise Conditioning of Gaussian Processes James T. Wilson Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 25 58 0 08 Nov 2020
Predicting special care during the COVID-19 pandemic: A machine learning approach Vitor Bezzan C. Rocco 8 12 0 06 Nov 2020
Bayesian Variational Optimization for Combinatorial Spaces Tony C Wu Daniel Flam-Shepherd Alán Aspuru-Guzik BDL 27 4 0 03 Nov 2020
Improved Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Fernández-Sánchez Eduardo C. Garrido-Merchán Daniel Hernández-Lobato 25 31 0 02 Nov 2020
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning Jon Ander Campos Kyunghyun Cho Arantxa Otegi Aitor Soroa Etxabe Gorka Azkune Eneko Agirre 27 6 0 01 Nov 2020
Black-Box Optimization of Object Detector Scales M. Muthuraja Octavio Arriaga Paul G. Plöger Frank Kirchner Matias Valdenegro-Toro ObjD 9 0 0 29 Oct 2020
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins Dimitra N. Panou M. Reczko 33 3 0 28 Oct 2020
Interpretable Data-Driven Demand Modelling for On-Demand Transit Services Nael Alsaleh Bilal Farooq 6 13 0 27 Oct 2020
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians Juhan Bae Roger C. Grosse 27 24 0 26 Oct 2020
Scalable Bayesian Optimization with Sparse Gaussian Process Models Ang Yang 28 0 0 26 Oct 2020
Hyperparameter Transfer Across Developer Adjustments Daniel Stoll Jörg Franke Diane Wagner Simon Selg Frank Hutter 32 12 0 25 Oct 2020
Mood Classification Using Listening Data Filip Korzeniowski Oriol Nieto Matthew C. McCallum Minz Won Sergio Oramas Erik M. Schmidt 33 12 0 22 Oct 2020
Complex data labeling with deep learning methods: Lessons from fisheries acoustics J. M. Sarr T. Brochier P. Brehmer Y. Perrot A. Bah Abdoulaye Sarré M. A. Jeyid M. Sidibeh S. E. Ayoubi 33 13 0 21 Oct 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds Noémie Jaquier Leonel Rozo 43 24 0 21 Oct 2020
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 80 228 0 21 Oct 2020
Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy Prediction Amir Mukeri H. Shaikh D. Gaikwad 14 4 0 19 Oct 2020
Learning Locomotion Skills in Evolvable Robots Gongjin Lan M. V. Hooft Matteo De Carlo Jakub M. Tomczak A. E. Eiben 24 30 0 19 Oct 2020
Probabilistic selection of inducing points in sparse Gaussian processes Anders Kirk Uhrenholt V. Charvet B. S. Jensen 16 12 0 19 Oct 2020