Alizée Pace

According to our database, Alizée Pace authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

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

CoRR, 2024

West-of-N: Synthetic Preference Generation for Improved Reward Modeling.

Alizée Pace, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn

CoRR, 2024

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding.

Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series.

Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch

Proceedings of the Machine Learning for Health, 2023

Temporal Label Smoothing for Early Event Prediction.

Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova

Proceedings of the International Conference on Machine Learning, 2023

2022

Temporal Label Smoothing for Early Prediction of Adverse Events.

Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova

CoRR, 2022

POETREE: Interpretable Policy Learning with Adaptive Decision Trees.

Alizée Pace, Alex J. Chan, Mihaela van der Schaar

Proceedings of the Tenth International Conference on Learning Representations, 2022