Title
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 77 1 0 24 Feb 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 86 0 0 22 Jan 2025
Hyperparameter Importance Analysis for Multi-Objective AutoML Daphne Theodorakopoulos Frederic Stahl Marius Lindauer 87 3 0 03 Jan 2025
Sequential Binary Classification for Intrusion Detection Ishan Chokshi Shrihari Vasudevan Nachiappan Sundaram Raaghul Ranganathan 70 0 0 10 Jun 2024
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data Lukas Burk John Zobolas Bernd Bischl Andreas Bender Marvin N. Wright R. Sonabend 47 2 0 06 Jun 2024
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization S. Reifenstein T. Leleu Yoshihisa Yamamoto 48 1 0 02 May 2024
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 30 3 0 01 Mar 2024
Target Variable Engineering Jessica Clark 32 0 0 13 Oct 2023
Data-Driven Batch Localization and SLAM Using Koopman Linearization Zi Cong Guo Frederike Dumbgen James Richard Forbes T. Barfoot 45 3 0 08 Sep 2023
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models Lennart Schneider B. Bischl Janek Thomas 30 6 0 17 Jul 2023
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions Abdullah Makkeh Marcel Graetz Andreas C. Schneider David A. Ehrlich V. Priesemann Michael Wibral 44 1 0 03 Jun 2023
Automated wildlife image classification: An active learning tool for ecological applications Ludwig Bothmann Lisa Wimmer Omid Charrakh Tobias Weber Hendrik Edelhoff W. Peters Hien Nguyen C. Benjamin A. Menzel VLM 27 21 0 28 Mar 2023
Iterative Deepening Hyperband Jasmin Brandt Marcel Wever Dimitrios Iliadis Viktor Bengs Eyke Hüllermeier 11 1 0 01 Feb 2023
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 19 1 0 08 Nov 2022
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection Lukas Fehring Jonas Hanselle Alexander Tornede 13 5 0 31 Oct 2022
Learning Optimal Solutions via an LSTM-Optimization Framework Dogacan Yilmaz I. E. Büyüktahtakin 28 10 0 06 Jul 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
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning Yang Li Yu Shen Huaijun Jiang Wentao Zhang Zhi-Xin Yang Ce Zhang Tengjiao Wang 36 15 0 06 Jun 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning Yang Li Yu Shen Huaijun Jiang Tianyi Bai Wentao Zhang Ce Zhang Tengjiao Wang 38 13 0 06 Jun 2022
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 19 48 0 03 Feb 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 327 0 20 Sep 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler 30 16 0 30 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 77 0 05 Aug 2021
A Comparison of Optimization Algorithms for Deep Learning Derya Soydaner 87 151 0 28 Jul 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 607 0 13 Mar 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 75 83 0 06 Feb 2020
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms R. G. Mantovani Tomáš Horváth André L. D. Rossi R. Cerri Sylvio Barbon Junior Joaquin Vanschoren A. Carvalho 20 39 0 05 Dec 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,684 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 406 0 06 Mar 2017
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 93 2,732 0 18 Aug 2015