Hugo Yèche
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    • I defended my thesis !
    • DSA for EEP in CHIL
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    • Dynamic Survival Analysis for Early Event Prediction
    • A comprehensive ml-based respiratory monitoring system for physiological monitoring & resource planning in the icu
    • Improving Neural Additive Models with Bayesian Principles
    • Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
    • On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
    • Temporal Label Smoothing for Early Event Prediction
    • On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
    • HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
    • Neighborhood Contrastive Learning Applied to Online Patient Monitoring
    • UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics
    • Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
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Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding

Manuel Burger
,
Fedor Sergeev
,
Malte Londschien
,
Daphné Chopard
,
Hugo Yèche
,
Eike Christian Gerdes
,
Polina Leshetkina
,
Alexander Morgenroth
,
Zeynep Babür
,
Jasmina Bogojeska
,
Others
· 0 min read
Cite
Type
Conference paper
Publication
Best Paper Award AIFM@NeurIPS 2024
← UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics Jan 1, 2019

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