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@inproceedings{DBLP:conf/iclr/PaceYSRT24,
  author       = {Aliz{\'{e}}e Pace and
                  Hugo Y{\`{e}}che and
                  Bernhard Sch{\"{o}}lkopf and
                  Gunnar R{\"{a}}tsch and
                  Guy Tennenholtz},
  title        = {Delphic Offline Reinforcement Learning under Nonidentifiable Hidden
                  Confounding},
  booktitle    = {The Twelfth International Conference on Learning Representations,
                  {ICLR} 2024, Vienna, Austria, May 7-11, 2024},
  publisher    = {OpenReview.net},
  year         = {2024},
  url          = {https://openreview.net/forum?id=lUYY2qsRTI},
  timestamp    = {Wed, 07 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/PaceYSRT24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2403-12818,
  author       = {Hugo Y{\`{e}}che and
                  Manuel Burger and
                  Dinara Veshchezerova and
                  Gunnar R{\"{a}}tsch},
  title        = {Dynamic Survival Analysis for Early Event Prediction},
  journal      = {CoRR},
  volume       = {abs/2403.12818},
  year         = {2024},
  url          = {https://doi.org/10.48550/arXiv.2403.12818},
  doi          = {10.48550/ARXIV.2403.12818},
  eprinttype    = {arXiv},
  eprint       = {2403.12818},
  timestamp    = {Mon, 08 Apr 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2403-12818.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icml/YechePRK23,
  author       = {Hugo Y{\`{e}}che and
                  Aliz{\'{e}}e Pace and
                  Gunnar R{\"{a}}tsch and
                  Rita Kuznetsova},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {Temporal Label Smoothing for Early Event Prediction},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {39913--39938},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/yeche23a.html},
  timestamp    = {Mon, 28 Aug 2023 17:23:08 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/YechePRK23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ml4h/KuznetsovaPBYR23,
  author       = {Rita Kuznetsova and
                  Aliz{\'{e}}e Pace and
                  Manuel Burger and
                  Hugo Y{\`{e}}che and
                  Gunnar R{\"{a}}tsch},
  editor       = {Stefan Hegselmann and
                  Antonio Parziale and
                  Divya Shanmugam and
                  Shengpu Tang and
                  Mercy Nyamewaa Asiedu and
                  Serina Chang and
                  Tom Hartvigsen and
                  Harvineet Singh},
  title        = {On the Importance of Step-wise Embeddings for Heterogeneous Clinical
                  Time-Series},
  booktitle    = {Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023,
                  New Orleans, Louisiana, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {225},
  pages        = {268--291},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v225/kuznetsova23a.html},
  timestamp    = {Tue, 20 Feb 2024 16:30:24 +0100},
  biburl       = {https://dblp.org/rec/conf/ml4h/KuznetsovaPBYR23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2305-16905,
  author       = {Kouroche Bouchiat and
                  Alexander Immer and
                  Hugo Y{\`{e}}che and
                  Gunnar R{\"{a}}tsch and
                  Vincent Fortuin},
  title        = {Laplace-Approximated Neural Additive Models: Improving Interpretability
                  with Bayesian Inference},
  journal      = {CoRR},
  volume       = {abs/2305.16905},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2305.16905},
  doi          = {10.48550/ARXIV.2305.16905},
  eprinttype    = {arXiv},
  eprint       = {2305.16905},
  timestamp    = {Tue, 06 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2305-16905.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2306-01157,
  author       = {Aliz{\'{e}}e Pace and
                  Hugo Y{\`{e}}che and
                  Bernhard Sch{\"{o}}lkopf and
                  Gunnar R{\"{a}}tsch and
                  Guy Tennenholtz},
  title        = {Delphic Offline Reinforcement Learning under Nonidentifiable Hidden
                  Confounding},
  journal      = {CoRR},
  volume       = {abs/2306.01157},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2306.01157},
  doi          = {10.48550/ARXIV.2306.01157},
  eprinttype    = {arXiv},
  eprint       = {2306.01157},
  timestamp    = {Mon, 12 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2306-01157.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2311-08902,
  author       = {Rita Kuznetsova and
                  Aliz{\'{e}}e Pace and
                  Manuel Burger and
                  Hugo Y{\`{e}}che and
                  Gunnar R{\"{a}}tsch},
  title        = {On the Importance of Step-wise Embeddings for Heterogeneous Clinical
                  Time-Series},
  journal      = {CoRR},
  volume       = {abs/2311.08902},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2311.08902},
  doi          = {10.48550/ARXIV.2311.08902},
  eprinttype    = {arXiv},
  eprint       = {2311.08902},
  timestamp    = {Tue, 21 Nov 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2311-08902.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2208-13764,
  author       = {Hugo Y{\`{e}}che and
                  Aliz{\'{e}}e Pace and
                  Gunnar R{\"{a}}tsch and
                  Rita Kuznetsova},
  title        = {Temporal Label Smoothing for Early Prediction of Adverse Events},
  journal      = {CoRR},
  volume       = {abs/2208.13764},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2208.13764},
  doi          = {10.48550/ARXIV.2208.13764},
  eprinttype    = {arXiv},
  eprint       = {2208.13764},
  timestamp    = {Thu, 01 Sep 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2208-13764.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2212-03044,
  author       = {Severin Husmann and
                  Hugo Y{\`{e}}che and
                  Gunnar R{\"{a}}tsch and
                  Rita Kuznetsova},
  title        = {On the Importance of Clinical Notes in Multi-modal Learning for {EHR}
                  Data},
  journal      = {CoRR},
  volume       = {abs/2212.03044},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2212.03044},
  doi          = {10.48550/ARXIV.2212.03044},
  eprinttype    = {arXiv},
  eprint       = {2212.03044},
  timestamp    = {Thu, 08 Dec 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2212-03044.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/icml/YecheDLHR21,
  author       = {Hugo Y{\`{e}}che and
                  Gideon Dresdner and
                  Francesco Locatello and
                  Matthias H{\"{u}}ser and
                  Gunnar R{\"{a}}tsch},
  editor       = {Marina Meila and
                  Tong Zhang},
  title        = {Neighborhood Contrastive Learning Applied to Online Patient Monitoring},
  booktitle    = {Proceedings of the 38th International Conference on Machine Learning,
                  {ICML} 2021, 18-24 July 2021, Virtual Event},
  series       = {Proceedings of Machine Learning Research},
  volume       = {139},
  pages        = {11964--11974},
  publisher    = {{PMLR}},
  year         = {2021},
  url          = {http://proceedings.mlr.press/v139/yeche21a.html},
  timestamp    = {Wed, 25 Aug 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/YecheDLHR21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/nips/YecheKZHLFR21,
  author       = {Hugo Y{\`{e}}che and
                  Rita Kuznetsova and
                  Marc Zimmermann and
                  Matthias H{\"{u}}ser and
                  Xinrui Lyu and
                  Martin Faltys and
                  Gunnar R{\"{a}}tsch},
  editor       = {Joaquin Vanschoren and
                  Sai{-}Kit Yeung},
  title        = {HiRID-ICU-Benchmark - {A} Comprehensive Machine Learning Benchmark
                  on High-resolution {ICU} Data},
  booktitle    = {Proceedings of the Neural Information Processing Systems Track on
                  Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December
                  2021, virtual},
  year         = {2021},
  url          = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/5878a7ab84fb43402106c575658472fa-Abstract-round1.html},
  timestamp    = {Thu, 05 May 2022 16:30:03 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/YecheKZHLFR21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2106-05142,
  author       = {Hugo Y{\`{e}}che and
                  Gideon Dresdner and
                  Francesco Locatello and
                  Matthias H{\"{u}}ser and
                  Gunnar R{\"{a}}tsch},
  title        = {Neighborhood Contrastive Learning Applied to Online Patient Monitoring},
  journal      = {CoRR},
  volume       = {abs/2106.05142},
  year         = {2021},
  url          = {https://arxiv.org/abs/2106.05142},
  eprinttype    = {arXiv},
  eprint       = {2106.05142},
  timestamp    = {Tue, 15 Jun 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2106-05142.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2111-08536,
  author       = {Hugo Y{\`{e}}che and
                  Rita Kuznetsova and
                  Marc Zimmermann and
                  Matthias H{\"{u}}ser and
                  Xinrui Lyu and
                  Martin Faltys and
                  Gunnar R{\"{a}}tsch},
  title        = {HiRID-ICU-Benchmark - {A} Comprehensive Machine Learning Benchmark
                  on High-resolution {ICU} Data},
  journal      = {CoRR},
  volume       = {abs/2111.08536},
  year         = {2021},
  url          = {https://arxiv.org/abs/2111.08536},
  eprinttype    = {arXiv},
  eprint       = {2111.08536},
  timestamp    = {Mon, 22 Nov 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2111-08536.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/miccai/YecheHB19,
  author       = {Hugo Y{\`{e}}che and
                  Justin Harrison and
                  Tess Berthier},
  editor       = {Kenji Suzuki and
                  Mauricio Reyes and
                  Tanveer F. Syeda{-}Mahmood and
                  Ben Glocker and
                  Roland Wiest and
                  Yaniv Gur and
                  Hayit Greenspan and
                  Anant Madabhushi},
  title        = {{UBS:} {A} Dimension-Agnostic Metric for Concept Vector Interpretability
                  Applied to Radiomics},
  booktitle    = {Interpretability of Machine Intelligence in Medical Image Computing
                  and Multimodal Learning for Clinical Decision Support - Second International
                  Workshop, iMIMIC 2019, and 9th International Workshop, {ML-CDS} 2019,
                  Held in Conjunction with {MICCAI} 2019, Shenzhen, China, October 17,
                  2019, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {11797},
  pages        = {12--20},
  publisher    = {Springer},
  year         = {2019},
  url          = {https://doi.org/10.1007/978-3-030-33850-3\_2},
  doi          = {10.1007/978-3-030-33850-3\_2},
  timestamp    = {Tue, 15 Jun 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/miccai/YecheHB19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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