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Peter Bühlmann

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Extrapolation-Aware Nonparametric Statistical Inference

Feb 15, 2024
Niklas Pfister, Peter Bühlmann

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Assessing the overall and partial causal well-specification of nonlinear additive noise models

Oct 26, 2023
Christoph Schultheiss, Peter Bühlmann

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Invariant Probabilistic Prediction

Sep 18, 2023
Alexander Henzi, Xinwei Shen, Michael Law, Peter Bühlmann

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Distributionally Robust Machine Learning with Multi-source Data

Sep 05, 2023
Zhenyu Wang, Peter Bühlmann, Zijian Guo

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Causality-oriented robustness: exploiting general additive interventions

Jul 18, 2023
Xinwei Shen, Peter Bühlmann, Armeen Taeb

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TSCI: two stage curvature identification for causal inference with invalid instruments

Apr 02, 2023
David Carl, Corinne Emmenegger, Peter Bühlmann, Zijian Guo

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repliclust: Synthetic Data for Cluster Analysis

Mar 24, 2023
Michael J. Zellinger, Peter Bühlmann

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Confidence and Uncertainty Assessment for Distributional Random Forests

Feb 11, 2023
Jeffrey Näf, Corinne Emmenegger, Peter Bühlmann, Nicolai Meinshausen

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Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

Dec 22, 2022
Juan L. Gamella, Armeen Taeb, Christina Heinze-Deml, Peter Bühlmann

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