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Tobias Hatt

Causal Machine Learning for Cost-Effective Allocation of Development Aid

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Jan 31, 2024
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Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model

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Aug 08, 2022
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Interpretable Off-Policy Learning via Hyperbox Search

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Mar 04, 2022
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Estimating Conditional Average Treatment Effects with Missing Treatment Information

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Mar 02, 2022
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Estimating average causal effects from patient trajectories

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Mar 02, 2022
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Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects

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Feb 25, 2022
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Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies

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Dec 06, 2021
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Generalizing Off-Policy Learning under Sample Selection Bias

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Dec 02, 2021
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Sequential Deconfounding for Causal Inference with Unobserved Confounders

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Apr 16, 2021
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AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units

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Feb 17, 2021
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