Alizée Pace

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Composite Events

Boosted Decision Trees

Reinforcement Learning

Medical Databases

Top Venues

Publications

Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. ICLR (2024)
Alizée Pace, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn
West-of-N: Synthetic Preference Generation for Improved Reward Modeling. CoRR (2024)
Alizée Pace, Bernhard Schölkopf, Gunnar Rätsch, Giorgia Ramponi
Preference Elicitation for Offline Reinforcement Learning. CoRR (2024)
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. CoRR (2023)
Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
Temporal Label Smoothing for Early Event Prediction. ICML (2023)
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. ML4H@NeurIPS (2023)
Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. CoRR (2023)
Alizée Pace, Alex Chan, Mihaela van der Schaar
POETREE: Interpretable Policy Learning with Adaptive Decision Trees. ICLR (2022)
Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
Temporal Label Smoothing for Early Prediction of Adverse Events. CoRR (2022)
Alizée Pace, Alex J. Chan, Mihaela van der Schaar
POETREE: Interpretable Policy Learning with Adaptive Decision Trees. CoRR (2022)