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"

50 / 66 papers shown

Title
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 158 0 0 27 Apr 2025
Rethinking industrial artificial intelligence: a unified foundation framework Jay Lee Hanqi Su AI4CE 41 1 0 02 Apr 2025
Prediction of Permissioned Blockchain Performance for Resource Scaling Configurations Seungwoo Jung Yeonho Yoo Gyeongsik Yang Chuck Yoo 36 1 0 20 Mar 2025
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure Fatemeh Dehrouyeh I. Shaer S. Nikan F. Badrkhani Ajaei Abdallah Shami 66 0 0 19 Mar 2025
Rethinking Diffusion Model in High Dimension Zhenxin Zheng Zhenjie Zheng DiffM 55 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 85 6 0 28 Feb 2025
AIDE: AI-Driven Exploration in the Space of Code Zhengyao Jiang Dominik Schmidt Dhruv Srikanth Dixing Xu Ian Kaplan Deniss Jacenko Yuxiang Wu 72 5 0 18 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 49 0 0 30 Jan 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 86 0 0 22 Jan 2025
Dataset-Agnostic Recommender Systems Tri Kurniawan Wijaya Edoardo DÁmico Xinyang Shao 41 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 52 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 27 5 0 21 Oct 2024
UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models Jiayi Guo Zan Chen Yingrui Ji Liyun Zhang Daqin Luo Zhigang Li Yiqin Shen HAI 26 0 0 09 Oct 2024
Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model Mehdi Neshat Michael Phipps Chris A. Browne Nicole T. Vargas Seyedali Mirjalili 23 2 0 26 Sep 2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data Byeong Tak Lee Joon-Myoung Kwon Yong-Yeon Jo TTA 39 0 0 21 Jul 2024
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 32 3 0 01 Mar 2024
An Optimal House Price Prediction Algorithm: XGBoost Hemlata Sharma Hitesh Harsora Bayode Ogunleye OOD AI4TS 23 11 0 06 Feb 2024
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity Rafael Barbudo Aurora Ramírez José Raúl Romero 13 0 0 03 Feb 2024
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble Laura Fdez-Díaz J. R. Quevedo E. Montañés 29 3 0 02 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 46 20 0 02 Feb 2024
Optimized Ensemble Model Towards Secured Industrial IoT Devices MohammadNoor Injadat 35 2 0 10 Jan 2024
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 34 3 0 19 Oct 2023
Space Net Optimization Chun-Wei Tsai Yi-Cheng Yang Tzu-Chieh Tang Che-Wei Hsu 17 1 0 31 May 2023
OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification Mai A. Shaaban Mariam Kashkash Maryam Alghfeli A. Ibrahim 16 0 0 14 Mar 2023
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance Panos Pantidis Habiba Eldababy Christopher Miguel Tagle M. Mobasher 35 20 0 03 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised Learning Noah Barrett Zahra Sadeghi Stan Matwin 30 3 0 02 Mar 2023
Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights Jay Jacobs Sasha Romanosky Octavian Suciuo Benjamin Edwards Armin Sarabi 16 17 0 27 Feb 2023
Quantum Machine Learning hyperparameter search S. Consul-Pacareu R. Montano Kevin Rodriguez-Fernandez Alex Corretgé Esteve Vilella-Moreno Daniel Casado Fauli Parfait Atchade-Adelomou 24 5 0 20 Feb 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 28 123 0 20 Feb 2023
Optimizing YOLOv7 for Semiconductor Defect Detection Enrique Dehaerne Bappaditya Dey S. Halder S. de Gendt 25 16 0 19 Feb 2023
Autotuning Symbolic Optimization Fabrics for Trajectory Generation Max Spahn Javier Alonso-Mora 15 2 0 14 Feb 2023
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework Abdulaziz Ahmed Khalid Y. Aram S. Tutun 19 0 0 22 Dec 2022
Emergence of a stochastic resonance in machine learning Zheng-Meng Zhai Ling-Wei Kong Y. Lai 10 3 0 15 Nov 2022
Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures Andreas Spilz M. Munz 11 8 0 03 Oct 2022
Detecting Network-based Internet Censorship via Latent Feature Representation Learning Shawn P. Duncan Hui Chen 25 1 0 12 Sep 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 34 20 0 02 Sep 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 30 0 0 24 Aug 2022
Automating DBSCAN via Deep Reinforcement Learning Ruitong Zhang Hao Peng Yingtong Dou Jia Wu Qingyun Sun Jingyi Zhang Philip S. Yu OffRL 13 19 0 09 Aug 2022
Learning Optimal Solutions via an LSTM-Optimization Framework Dogacan Yilmaz I. E. Büyüktahtakin 28 10 0 06 Jul 2022
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach Arpan Biswas Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin BDL DRL 19 10 0 30 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
Anomaly Detection in Intra-Vehicle Networks A. Dwivedi 28 3 0 07 May 2022
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning) Rui Shu Tianpei Xia Huy Tu Laurie A. Williams Tim Menzies 11 0 0 02 May 2022
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles Pengzhou Cheng Mu Han Aoxue Li Fengwei Zhang 13 22 0 23 Apr 2022
XAI in the context of Predictive Process Monitoring: Too much to Reveal Ghada Elkhawaga Mervat Abuelkheir M. Reichert 20 1 0 16 Feb 2022
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 28 48 0 03 Feb 2022
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes Sigrun May Sven Hartmann F. Klawonn 9 1 0 01 Feb 2022
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles Li Yang Abdallah Shami 70 67 0 27 Jan 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series Tareq Tayeh Sulaiman A. Aburakhia Ryan Myers Abdallah Shami AI4TS 47 33 0 23 Jan 2022
Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process Akshansh Mishra R. Al-Sabur A. K. Jassim 20 14 0 21 Jan 2022