Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

21 March 2016

Papers citing "Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization"

50 / 286 papers shown

Title
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints Michael Kamfonas 34 0 0 14 May 2025
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses Sahil Sethi Sai Reddy Mansi Sakarvadia Jordan Serotte Darlington Nwaudo Nicholas Maassen Lewis Shi 41 0 0 29 Apr 2025
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 197 0 0 27 Apr 2025
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 63 0 0 22 Apr 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Timur Carstensen Neeratyoy Mallik Frank Hutter Martin Rapp AI4CE 34 0 0 14 Apr 2025
A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization Chul Kim Inwhee Joe 38 2 0 10 Apr 2025
Deep Unsupervised Segmentation of Log Point Clouds Fedor Zolotarev Tuomas Eerola Tomi Kauppi 3DPC 44 0 0 18 Mar 2025
Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW Sourabh Medapati Priya Kasimbeg Shankar Krishnan Naman Agarwal George E. Dahl 64 0 0 06 Mar 2025
Swarm Characteristics Classification Using Neural Networks Donald W. Peltier Isaac Kaminer Abram H. Clark Marko Orescanin 40 1 0 20 Feb 2025
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 212 0 0 10 Feb 2025
Distributed Intrusion Detection in Dynamic Networks of UAVs using Few-Shot Federated Learning Ozlem Ceviz Sevil Sen Pinar Sadioglu 78 1 0 22 Jan 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 94 0 0 22 Jan 2025
Automated Machine Learning for Remaining Useful Life Predictions Marc-André Zöller Fabian Mauthe P. Zeiler Marius Lindauer Marco F. Huber AI4CE 59 5 0 20 Jan 2025
Traits of a Leader: User Influence Level Prediction through Sociolinguistic Modeling Denys Katerenchuk Rivka Levitan TDI 58 0 0 05 Jan 2025
Federated Automated Feature Engineering Tom Overman Diego Klabjan FedML 95 1 0 05 Dec 2024
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach Henrique Donâncio Antoine Barrier Leah F. South Florence Forbes 30 0 0 16 Oct 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 50 5 0 04 Oct 2024
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits Padma Priyanka Sheetal Kalyani Avhishek Chatterjee 40 0 0 15 Sep 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation Maximilian Baronig Romain Ferrand Silvester Sabathiel Robert Legenstein 53 3 0 14 Aug 2024
Sequential Binary Classification for Intrusion Detection Ishan Chokshi Shrihari Vasudevan Nachiappan Sundaram Raaghul Ranganathan 75 0 0 10 Jun 2024
Utilitarian Algorithm Configuration for Infinite Parameter Spaces Devon R. Graham Kevin Leyton-Brown 34 0 0 28 May 2024
A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs Wenyu Wang Zheyi Fan Szu Hui Ng 33 0 0 24 May 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 40 11 0 25 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 55 4 0 12 Apr 2024
RealKIE: Five Novel Datasets for Enterprise Key Information Extraction Benjamin Townsend Madison May Christopher Wells SyDa 42 0 0 29 Mar 2024
Neural Architecture Search for Sentence Classification with BERT Philip Kenneweg Sarah Schröder Barbara Hammer 26 0 0 27 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets Lorenzo Brigato Stavroula Mougiakakou 45 0 0 08 Mar 2024
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 42 3 0 01 Mar 2024
Contrastive Multiple Instance Learning for Weakly Supervised Person ReID Jacob Tyo Zachary Chase Lipton SSL 34 0 0 12 Feb 2024
Replicability is Asymptotically Free in Multi-armed Bandits Junpei Komiyama Shinji Ito Yuichi Yoshida Souta Koshino 35 1 0 12 Feb 2024
Neural Multigrid Architectures V. Fanaskov 16 3 0 08 Feb 2024
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits Nicolas Nguyen Imad Aouali András Gyorgy Claire Vernade 42 2 0 08 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
Towards providing reliable job completion time predictions using PCS Abdullah Bin Faisal Noah Martin Hafiz Mohsin Bashir Swaminathan Lamelas Fahad R. Dogar 22 0 0 18 Jan 2024
A systematic study comparing hyperparameter optimization engines on tabular data Balazs Kegl 23 1 0 27 Nov 2023
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning F. Corponi Bryan M. Li G. Anmella Clàudia Valenzuela-Pascual Ariadna Mas ... Allan H Young S. Lawrie H. Whalley D. Hidalgo-Mazzei Antonio Vergari 26 0 0 07 Nov 2023
An Anytime Algorithm for Good Arm Identification Marc Jourdan Clémence Réda 30 2 0 16 Oct 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize Marc Jourdan Aymen Al Marjani D. Basu 44 3 0 05 Sep 2023
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems Younghyun Cho James Demmel Michal Derezinski Haoyun Li Hengrui Luo Michael W. Mahoney Riley Murray 35 5 0 30 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 38 5 0 15 Aug 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering Lei Pan V. Soo 37 0 0 14 Aug 2023
Generalized Early Stopping in Evolutionary Direct Policy Search Etor Arza Léni K. Le Goff E. Hart OffRL 34 3 0 07 Aug 2023
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees Aleksei G. Sorokin Xinran Zhu E. Lee Bolong Cheng 30 3 0 10 Jul 2023
PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction Vinícius V. Santana C. Rebello Luana P. Queiroz A. M. Ribeiro Nadia Shardt Idelfonso B. R. Nogueira 24 6 0 06 Jul 2023
Automatic MILP Solver Configuration By Learning Problem Similarities Abdelrahman I. Hosny Sherief Reda 38 4 0 02 Jul 2023
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation Sigrid Passano Hellan Huibin Shen Franccois-Xavier Aubet David Salinas Aaron Klein 35 1 0 29 Jun 2023
AutoML in Heavily Constrained Applications Felix Neutatz Marius Lindauer Ziawasch Abedjan 25 4 0 29 Jun 2023
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review Elias Hossain R. Rana N. Higgins J. Soar P. Barua Anthony R. Pisani Ph. D K. Turner 34 182 0 22 Jun 2023
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors Marco Knipfer S. Meier J. Heimerl P. Hommelhoff S. Gleyzer 31 3 0 13 Jun 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 21 6 0 30 May 2023