On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

30 July 2020

Li Yang

Papers citing "On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice"

45 / 45 papers shown

Title
Rethinking industrial artificial intelligence: a unified foundation framework Jay Lee Hanqi Su AI4CE 56 1 0 02 Apr 2025
Prediction of Permissioned Blockchain Performance for Resource Scaling Configurations Seungwoo Jung Yeonho Yoo Gyeongsik Yang Chuck Yoo 51 1 0 20 Mar 2025
Rethinking Diffusion Model in High Dimension Zhenxin Zheng Zhenjie Zheng DiffM 66 0 0 11 Mar 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 99 7 0 28 Feb 2025
Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach Soheil Hashtarkhani Yiwang Zhou F. Kumsa Shelley White-Means David L. Schwartz A. Shaban-Nejad 69 0 0 30 Jan 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 104 0 0 22 Jan 2025
Dataset-Agnostic Recommender Systems Tri Kurniawan Wijaya Edoardo DÁmico Xinyang Shao 55 0 0 13 Jan 2025
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models Jingjing Xu Caesar Wu Yuan-Fang Li Grégoire Danoy Pascal Bouvry TPM AI4TS 61 0 0 03 Jan 2025
Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges Yuchen Cao Jianglai Dai Zhongyan Wang Yeyubei Zhang Xiaorui Shen Yunchong Liu Yexin Tian 39 5 0 21 Oct 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 51 21 0 02 Feb 2024
DNS Typo-squatting Domain Detection: A Data Analytics & Machine Learning Based Approach Abdallah Moubayed MohammadNoor Injadat Abdallah Shami H. Lutfiyya AAML 17 44 0 25 Dec 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
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection MohammadNoor Injadat F. Salo Ali Bou Nassif A. Essex Abdallah Shami AAML 6 122 0 05 Aug 2020
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 50 70 0 09 Jun 2020
Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection Abdallah Moubayed Emad Aqeeli Abdallah Shami 21 25 0 08 Jun 2020
Systematic Ensemble Model Selection Approach for Educational Data Mining MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 38 126 0 13 May 2020
Machine Learning for Performance-Aware Virtual Network Function Placement D. Manias Manar Jammal Hassan Hawilo Abdallah Shami P. Heidari Adel Larabi Richard Brunner 11 35 0 13 Jan 2020
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles Li Yang Abdallah Moubayed Ismail Hamieh Abdallah Shami 19 152 0 18 Oct 2019
Automated Architecture Design for Deep Neural Networks Steven Abreu 3DV AI4CE 28 16 0 22 Aug 2019
A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 24 552 0 17 Jun 2019
Automated Machine Learning: State-of-The-Art and Open Challenges Radwa El Shawi Mohamed Maher Sherif Sakr 25 158 0 05 Jun 2019
Optimization Problems for Machine Learning: A Survey Claudio Gambella Bissan Ghaddar Joe Naoum-Sawaya AI4CE 54 179 0 16 Jan 2019
Automated Machine Learning: From Principles to Practices Quanming Yao Mengshuo Wang Hugo Jair Escalante Huan Zhao Qiang Yang 38 258 0 31 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 67 1,077 0 04 Jul 2018
Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning Jiazhuo Wang Jason Xu Xuejun Wang 21 72 0 05 Jan 2018
GPflowOpt: A Bayesian Optimization Library using TensorFlow Nicolas Knudde J. Herten T. Dhaene Ivo Couckuyt GP 25 78 0 10 Nov 2017
Hyperparameter Optimization: A Spectral Approach Elad Hazan Adam R. Klivans Yang Yuan 35 118 0 02 Jun 2017
An effective algorithm for hyperparameter optimization of neural networks G. I. Diaz Achille Fokoue G. Nannicini Horst Samulowitz 34 156 0 23 May 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 183 410 0 06 Mar 2017
Comparative Study of CNN and RNN for Natural Language Processing Wenpeng Yin Katharina Kann Mo Yu Hinrich Schütze 45 981 0 07 Feb 2017
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates Ilija Ilievski Taimoor Akhtar Jiashi Feng C. Shoemaker 34 150 0 28 Jul 2016
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 13 421 0 29 Mar 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 99 2,303 0 21 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 95 11,129 0 14 Mar 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 24 37,815 0 09 Mar 2016
Unbounded Bayesian Optimization via Regularization Bobak Shahriari Alexandre Bouchard-Côté Nando de Freitas BDL 14 69 0 14 Aug 2015
MLlib: Machine Learning in Apache Spark Xiangrui Meng Joseph K. Bradley Burak Yavuz Evan R. Sparks Shivaram Venkataraman ... Reynold Xin Michael Franklin R. Zadeh Matei A. Zaharia Ameet Talwalkar 32 1,781 0 26 May 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 84 941 0 11 Feb 2015
Hyperparameter Search in Machine Learning Marc Claesen B. De Moor 43 438 0 07 Feb 2015
Easy Hyperparameter Search Using Optunity Marc Claesen Jaak Simm D. Popovic Yves Moreau B. De Moor 45 78 0 02 Dec 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits Ruben Martinez-Cantin 40 284 0 29 May 2014
A Tutorial on Principal Component Analysis Jonathon Shlens 53 2,485 0 03 Apr 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 53 1,226 0 26 Sep 2013
Fast and accurate sentiment classification using an enhanced Naive Bayes model V. Narayanan Ishani Arora Arjun Bhatia 38 270 0 27 May 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 184 7,876 0 13 Jun 2012