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Peter Bühlmann

Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift

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Mar 16, 2025
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Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective

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Dec 17, 2024
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Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning

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May 07, 2024
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The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

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Apr 17, 2024
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Extrapolation-Aware Nonparametric Statistical Inference

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Feb 15, 2024
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Assessing the overall and partial causal well-specification of nonlinear additive noise models

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Oct 26, 2023
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Invariant Probabilistic Prediction

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Sep 18, 2023
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Distributionally Robust Machine Learning with Multi-source Data

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Sep 05, 2023
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Causality-oriented robustness: exploiting general additive interventions

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Jul 18, 2023
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TSCI: two stage curvature identification for causal inference with invalid instruments

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Apr 02, 2023
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