Katarzyna Kobalczyk

According to our database, Katarzyna Kobalczyk authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

LILO: Bayesian Optimization with Interactive Natural Language Feedback.

Katarzyna Kobalczyk, Zhiyuan Jerry Lin, Benjamin Letham, Zhuokai Zhao, Maximilian Balandat, Eytan Bakshy

CoRR, October, 2025

Interpretable Reward Modeling with Active Concept Bottlenecks.

Sonia Laguna, Katarzyna Kobalczyk, Julia E. Vogt, Mihaela van der Schaar

CoRR, July, 2025

The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data.

Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar

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

Preference Learning for AI Alignment: a Causal Perspective.

Kasia Kobalczyk, Mihaela van der Schaar

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

Towards Automated Knowledge Integration From Human-Interpretable Representations.

Kasia Kobalczyk, Mihaela van der Schaar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Active Task Disambiguation with LLMs.

Kasia Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes.

Katarzyna Kobalczyk, Claudio Fanconi, Hao Sun, Mihaela van der Schaar

CoRR, 2024

LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements.

Thomas Pouplin, Katarzyna Kobalczyk, Hao Sun, Mihaela van der Schaar

CoRR, 2024

Informed Meta-Learning.

Katarzyna Kobalczyk, Mihaela van der Schaar

CoRR, 2024

2023

cegpy: Modelling with chain event graphs in Python.

Gareth Walley, Aditi Shenvi, Peter Strong, Katarzyna Kobalczyk

Knowl. Based Syst., 2023

Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces.

Max Zhu, Katarzyna Kobalczyk, Andrija Petrovic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Petro Liò

CoRR, 2023