AutoML 2025 ABCD Track Submissions

$\texttt{confopt}$: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods
Abhash Kumar Jha, Shakiba Moradian, Arjun Krishnakumar, Martin Rapp, Frank Hutter
- Published: 03 Jun 2025, Last Modified: 17 Jun 2025
- AutoML 2025 ABCD Track
- Readers: Everyone
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 et al. (1 additional authors not shown)
- Published: 03 Jun 2025, Last Modified: 05 Sept 2025
- AutoML 2025 ABCD Track
- Readers: Everyone
Exploring One Million Machine Learning Pipelines: A Benchmarking Study
Edesio Alcobaça, Andre Carlos Ponce de Leon Ferreira De Carvalho
- Published: 03 Jun 2025, Last Modified: 17 Jun 2025
- AutoML 2025 ABCD Track
- Readers: Everyone
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting
Keshav Das, Julie Keisler, Margaux Brégère, Amaury Durand
- Published: 03 Jun 2025, Last Modified: 17 Jun 2025
- AutoML 2025 ABCD Track
- Readers: Everyone
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander
- Published: 03 Jun 2025, Last Modified: 23 Jun 2025
- AutoML 2025 ABCD Track
- Readers: Everyone
Auto-nnU-Net: Towards Automated Medical Image Segmentation
Jannis Becktepe, Leona Hennig, Steffen Oeltze-Jafra, Marius Lindauer
- Published: 03 Jun 2025, Last Modified: 17 Jun 2025
- AutoML 2025 ABCD Track
- Readers: Everyone