Jacek Golebiowski

According to our database, Jacek Golebiowski authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Machine Learning Without Data: Training Small Expert Agents With Minimal Examples - Keynote.

Jacek Golebiowski, Maciej Gryka, Vineeth Reddy Guda, Gabi Kadlecová, Bartek Kruszczynski, Selim Nowicki, Jonas Verschueren, Usman Zafar

Proceedings of the 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT 2025) co-located with CIKM 2025, 2025

Hyperband-based Bayesian Optimization for Black-box Prompt Selection.

Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction.

Felice Antonio Merra, Kristian Skracic, Daniele Malitesta, Jacek Golebiowski, Pasquale Minervini

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Clustering Context in Off-Policy Evaluation.

Daniel Guzman-Olivares, Philipp Schmidt, Jacek Golebiowski, Artur Bekasov

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

matscipy: materials science at the atomic scale with Python.

Petr Grigorev, Lucas Frérot, Fraser Birks, Adrien Gola, Jacek Golebiowski, Jan Grießer, Johannes L. Hörmann, Andreas Klemenz, Gianpietro Moras, Wolfram G. Nöhring, Jonas A. Oldenstaedt, Punit Patel, Thomas Reichenbach, Thomas Rocke, Lakshmi Shenoy, Michael Walter, Simon Wengert, Lei Zhang, James R. Kermode, Lars Pastewka

J. Open Source Softw., January, 2024

matscipy: materials science at the atomic scale with Python.

Petr Grigorev, Lucas Frérot, Fraser Birks, Adrien Gola, Jacek Golebiowski, Jan Grießer, Johannes L. Hörmann, Andreas Klemenz, Gianpietro Moras, Wolfram G. Nöhring, Jonas A. Oldenstaedt, Punit Patel, Thomas Reichenbach, Thomas Rocke, Lakshmi Shenoy, Michael Walter, Simon Wengert, Lei Zhang, James R. Kermode, Lars Pastewka

Dataset, January, 2024

Towards Unbiased Calibration using Meta-Regularization.

Cheng Wang, Jacek Golebiowski

Trans. Mach. Learn. Res., 2024

Structural Pruning of Pre-trained Language Models via Neural Architecture Search.

Aaron Klein, Jacek Golebiowski, Xingchen Ma, Valerio Perrone, Cédric Archambeau

Trans. Mach. Learn. Res., 2024

Guiding Catalogue Enrichment with User Queries.

Yupei Du, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Data Augmentation for Supervised Code Translation Learning.

Binger Chen, Jacek Golebiowski, Ziawasch Abedjan

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Towards Data Augmentation for Supervised Code Translation.

Binger Chen, Jacek Golebiowski, Ziawasch Abedjan

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Learning Action Embeddings for Off-Policy Evaluation.

Matej Cief, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan, Artur Bekasov

Proceedings of the Advances in Information Retrieval, 2024

2023

Meta-Calibration Regularized Neural Networks.

Cheng Wang, Jacek Golebiowski

CoRR, 2023

Optimizing Hyperparameters with Conformal Quantile Regression.

David Salinas, Jacek Golebiowski, Aaron Klein, Matthias W. Seeger, Cédric Archambeau

Proceedings of the International Conference on Machine Learning, 2023

Geographical Erasure in Language Generation.

Pola Schwöbel, Jacek Golebiowski, Michele Donini, Cédric Archambeau, Danish Pruthi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Search Filter Ranking with Language-Aware Label Embeddings.

Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan, Felix Biessmann

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Measuring Fairness of Rankings under Noisy Sensitive Information.

Azin Ghazimatin, Matthäus Kleindessner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Automated Data Validation in Machine Learning Systems.

Felix Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange, Philipp Schmidt

IEEE Data Eng. Bull., 2021