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Konstantin Hess

Causal machine learning for predicting treatment 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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Model-agnostic meta-learners for estimating heterogeneous treatment effects over time

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Jul 07, 2024
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G-Transformer for Conditional Average Potential Outcome Estimation over Time

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May 31, 2024
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Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation

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Oct 26, 2023
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