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Stefan Feuerriegel

Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner

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Nov 05, 2024
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Causal machine learning for predicting treatment outcomes

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Oct 11, 2024
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DiffPO: A causal diffusion model for learning distributions of potential outcomes

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Oct 11, 2024
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Learning Representations of Instruments for Partial Identification of Treatment Effects

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Oct 11, 2024
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Stabilized Neural Prediction of Potential Outcomes in Continuous Time

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Oct 04, 2024
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Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing

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Oct 02, 2024
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A Fused Large Language Model for Predicting Startup Success

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Sep 05, 2024
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Model-agnostic meta-learners for estimating heterogeneous treatment effects over time

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Jul 07, 2024
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Conformal Prediction for Causal Effects of Continuous Treatments

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Jul 03, 2024
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Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments

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Jun 04, 2024
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