Hugo Yèche
  • Bio
  • News
  • Papers
  • Blog
    • I defended my thesis !
    • DSA for EEP in CHIL
  • Projects
  • Recent & Upcoming Talks
    • TS4H@ICLR Oral
  • Publications
    • 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
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding

Jan 1, 2023·
Alizée Pace
,
Hugo Yèche
,
Bernhard Schölkopf
,
Gunnar Rätsch
,
Guy Tennenholtz
· 0 min read
Cite
Type
Conference paper
Publication
ICLR 2024
Last updated on Jan 1, 2023
← Improving Neural Additive Models with Bayesian Principles Jan 1, 2024
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Jan 1, 2023 →

© 2025 Hugo Yèche. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.