AutoML 2025 Non-Archival Content Track Submissions

Conversational AutoMLOPs
Paulito Pedregosa Palmes
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection
Adam Jovine, Tinghan Ye, David Shmoys, Peter I. Frazier
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Object-Flow Machine Learning: Active learning framework utilizing protocols information
Yusuke Ozaki, Kazunari Kaizu, Koichi Takahashi
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Data-Efficient Ranking of Recommendation Models
Berivan Isik, Matthew Fahrbach, Dima Kuzmin, Nicolas Mayoraz, Emil Praun, Steffen Rendle, Raghavendra Vasudeva
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Improving GP Hyperparameter Fitting for Bayesian Optimization with a Goal-Oriented Criterion
Bobby Huggins, Roman Garnett
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Prometheus: A Recursively Self-Improving NAS System
Alex Zhang, Hui Liu
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Successive Halving with Learning Curve Prediction via Latent Kronecker Gaussian Processes
Jihao Andreas Lin, Nicolas Mayoraz, Steffen Rendle, Dima Kuzmin, Emil Praun, Berivan Isik
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
ParticleML: AutoML Through Electromagnetic Physics Simulation
Arya Manjaramkar
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
ReLU is all you need for NASWOT
Prit Kanadiya, Raghav Agarwal, Om Doiphode, Sandip Shingade.
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Surrogate Benchmarks for Model Merging Optimization
Rio Akizuki, Yuya Kudo, Nozomu Yoshinari, Yoichi Hirose, Toshiyuki Nishimoto, Kento Uchida, Shinichi Shirakawa
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Stitching Disparate Neural Network Layers with Complex Adapters and Spatial Rescaling
Neil Traft, Nick Cheney
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Automated Data Preparation for Machine Learning
Sasa Mladenovic, Marius Lindauer, Carola Doerr
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Cost-aware Stopping for Bayesian Optimization
Qian Xie, Linda Cai, Alexander Terenin, Peter I. Frazier, Ziv Scully
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
How Usable is Automated Feature Engineering for Tabular Data?
Bastian Schäfer, Lennart Purucker, Maciej Janowski, Frank Hutter
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Multi-objective Hyperparameter Optimization in the Age of Deep Learning
Soham Basu, Danny Stoll
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Tune My Adam, Please!
Theodoros Athanasiadis, Steven Adriaensen, Samuel Müller, Frank Hutter
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
The Gittins Index: A Design Principle for Decision-Making Under Uncertainty
Ziv Scully, Alexander Terenin
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Stress Testing Classifiers around the Decision Boundary with Latent Diffusion
Inês Gomes, André Restivo, Moisés Rocha dos Santos, Carlos Soares, Jan N. van Rijn, Luis Filipe Teixeira
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Qian Xie, Raul Astudillo, Peter I. Frazier, Ziv Scully, Alexander Terenin
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
A Preliminary Evaluation of Large Language Models for Data Science Code Generation
Farshad Ghorbanishovaneh, Lars Kotthoff
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Zero-Cost Benchmarks: Towards Lower Reliance on Spearman Rank Correlation
Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil AISSA EL BEY
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Quickly Tuning Foundation Models for Image Segmentation
Breenda Das, Lennart Purucker, Timur Carstensen, Frank Hutter
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Algorithm Configuration for Structured Pfaffian Settings
Maria Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone
Quantifying Module Interactions in the PSO-X Framework
Christian Leonardo Camacho-Villalón, Ana Nikolikj, Katharina Dost, Eva Tuba, Saso Dzeroski, Tome Eftimov
- Published: 29 Aug 2025, Last Modified: 29 Aug 2025
- AutoML 2025 Non-Archival Content Track
- Readers: Everyone