POETREE: Interpretable Policy Learning with Adaptive Decision Trees. - Alizée Pace; Alex J. Chan; Mihaela van der Schaar (ICLR, 2022)

Temporal Label Smoothing for Early Prediction of Adverse Events. - Hugo Yèche; Alizée Pace; Gunnar Rätsch; Rita Kuznetsova (CoRR, 2022)

Temporal Label Smoothing for Early Event Prediction. - Hugo Yèche; Alizée Pace; Gunnar Rätsch; Rita Kuznetsova (ICML, 2023)

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. - Rita Kuznetsova; Alizée Pace; Manuel Burger; Hugo Yèche; Gunnar Rätsch (ML4H@NeurIPS, 2023)

Reinforcement Learning for Heart Failure Treatment Optimization in the Intensive Care Unit. - Cristian Drudi; Moritz Fechner; Maximiliano Mollura; Alizée Pace; Gunnar Rätsch; Riccardo Barbieri (EMBC, 2024)

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. - Alizée Pace; Hugo Yèche; Bernhard Schölkopf; Gunnar Rätsch; Guy Tennenholtz (ICLR, 2024)

West-of-N: Synthetic Preference Generation for Improved Reward Modeling. - Alizée Pace; Jonathan Mallinson; Eric Malmi; Sebastian Krause; Aliaksei Severyn (CoRR, 2024)

Uncertainty-Penalized Direct Preference Optimization. - Sam Houliston; Alizée Pace; Alexander Immer; Gunnar Rätsch (CoRR, 2024)

Preference Elicitation for Offline Reinforcement Learning. - Alizée Pace; Bernhard Schölkopf; Gunnar Rätsch; Giorgia Ramponi (ICLR, 2025)