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)

cegpy: Modelling with chain event graphs in Python. - Gareth Walley; Aditi Shenvi; Peter Strong; Katarzyna Kobalczyk (Knowl. Based Syst., 2023)

Informed Meta-Learning. - Katarzyna Kobalczyk; Mihaela van der Schaar (CoRR, 2024)

LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements. - Thomas Pouplin; Katarzyna Kobalczyk; Hao Sun 017; Mihaela van der Schaar (CoRR, 2024)

Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes. - Katarzyna Kobalczyk; Claudio Fanconi; Hao Sun 017; Mihaela van der Schaar (CoRR, 2024)

Active Task Disambiguation with LLMs. - Kasia Kobalczyk; Nicolás Astorga; Tennison Liu; Mihaela van der Schaar (ICLR, 2025)

Towards Automated Knowledge Integration From Human-Interpretable Representations. - Kasia Kobalczyk; Mihaela van der Schaar (ICLR, 2025)

Preference Learning for AI Alignment: a Causal Perspective. - Katarzyna Kobalczyk; Mihaela van der Schaar (CoRR, 2025)

Interpretable Reward Modeling with Active Concept Bottlenecks. - Sonia Laguna; Katarzyna Kobalczyk; Julia E. Vogt; Mihaela van der Schaar (CoRR, 2025)