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Editors: Leman Akoglu, Carola Doerr, Jan N. van Rijn, Roman Garnett, Jacob R. Gardner
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PiML: Automated Machine Learning Workflow Optimization using LLM Agents
; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:1/1-42
Feasibility-Driven Trust Region Bayesian Optimization
Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian Duddeck; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:2/1-28
Iterative Monte Carlo Tree Search for Neural Architecture Search
Mehraveh Javan Roshtkhari, Matthew Toews, Marco Pedersoli; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:3/1-17
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
Timur Carstensen, Neeratyoy Mallik, Frank Hutter, Martin Rapp; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:4/1-24
Fast Bayesian Optimization of Function Networks with Partial Evaluations
Poompol Buathong, Peter I. Frazier; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:5/1-20
syftr: Pareto-Optimal Generative AI
Alexander Conway, Debadeepta Dey, Stefan Hackmann, Matthew Hausknecht, Michael Douglas Schmidt, Mark Lewis Steadman, Nick Volynets; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:6/1-33
The Ranking Trick: A Simple and Robust Alternative to Score-Based Regression for AutoML
Hernan Ceferino Vazquez, Jorge Sánchez, Verónica Bogado, Pucci Romero Tobias; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:7/1-29
Regularized Neural Ensemblers
Sebastian Pineda Arango, Maciej Janowski, Lennart Purucker, Arber Zela, Frank Hutter, Josif Grabocka; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:8/1-33
What Makes Freezing Layers in Deep Neural Networks Effective? A Linear Separability Perspective
Collin Coil, Nick Cheney; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:9/1-32
EG-ENAS: Efficient and Generalizable Evolutionary Neural Architecture Search for Image Classification
Mateo Avila Pava, René Groh, Andreas M Kist; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:10/1-20
Hyperparameter Optimization via Interacting with Probabilistic Circuits
Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:11/1-39
SmartCal: A Novel Automated Approach to Classifier Probability Calibration
Mohamed Maher Abdelrahman, Osama Fayez Oun, Youssef Medhat, Mariam Magdy Elseedawy, Yara Mostafa Marei, Abdullah Ibrahim, Radwa Mohamed El Shawi; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:12/1-14
AutoPDL: Automatic Prompt Optimization for LLM Agents
Claudio Spiess, Mandana Vaziri, Louis Mandel, Martin Hirzel; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:13/1-20
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimization
Sigrid Passano Hellan, Huibin Shen, Francois-Xavier Aubet, David Salinas, Aaron Klein; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:14/1-29
Multi-layer Stack Ensembles for Time Series Forecasting
Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Turkmen; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:15/1-30
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:16/1-29
Overtuning in Hyperparameter Optimization
Lennart Schneider, Bernd Bischl, Matthias Feurer; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:17/1-43
CAPO: Cost-Aware Prompt Optimization
Tom Zehle, Moritz Schlager, Timo Heiß, Matthias Feurer; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:18/1-45
Revisiting Learning Rate Control
Micha Henheik, Theresa Eimer, Marius Lindauer; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:19/1-19
\textttconfopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods
Abhash Kumar Jha, Shakiba Moradian, Arjun Krishnakumar, Martin Rapp, Frank Hutter; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:20/1-24
Ax: A Platform for Adaptive Experimentation
Miles Olson, Elizabeth Santorella, Louis C. Tiao, Sait Cakmak, Mia Garrard, Samuel Daulton, Zhiyuan Jerry Lin, Sebastian Ament, Bernard Beckerman, Eric Onofrey, Paschal Igusti, Cristian Lara, Benjamin Letham, Cesar Cardoso, Shiyun Sunny Shen, Andy Chenyuan Lin, Matthew Grange, Elena Kashtelyan, David Eriksson, Maximilian Balandat, Eytan Bakshy; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:21/1-25
Exploring One Million Machine Learning Pipelines: A Benchmarking Study
Edesio Alcobaça, Andre Carlos Ponce de Leon Ferreira De Carvalho; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:22/1-34
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting
Keshav Das, Julie Keisler, Margaux Brégère, Amaury Durand; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:23/1-19
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:24/1-20
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Jannis Becktepe, Leona Hennig, Steffen Oeltze-Jafra, Marius Lindauer; Proceedings of the Fourth International Conference on Automated Machine Learning, PMLR 293:25/1-31
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