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Tobias Hatt
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Year
Early detection of user exits from clickstream data: A Markov modulated marked point process model
T Hatt, S Feuerriegel
Proceedings of The Web Conference 2020, 1671-1681, 2020
242020
Estimating average treatment effects via orthogonal regularization
T Hatt, S Feuerriegel
International Conference on Information and Knowledge Management (CIKM), 2021
162021
Sequential deconfounding for causal inference with unobserved confounders
T Hatt, S Feuerriegel
arXiv preprint arXiv:2104.09323, 2021
152021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Y Oezyurt, M Kraus, T Hatt, S Feuerriegel
International Conference on Knowledge Discovery & Data Mining (KDD), 2021
122021
Deconfounding Temporal Autoencoder: estimating treatment effects over time using noisy proxies
M Kuzmanovic, T Hatt, S Feuerriegel
Machine Learning for Health, 143-155, 2021
102021
Generalizing Off-Policy Learning under Sample Selection Bias
T Hatt, D Tschernutter, S Feuerriegel
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
82021
Combining observational and randomized data for estimating heterogeneous treatment effects
T Hatt, J Berrevoets, A Curth, S Feuerriegel, M van der Schaar
arXiv preprint arXiv:2202.12891, 2022
52022
A Deep Markov Model for Clickstream Analytics in Online Shopping
Y Özyurt, T Hatt, C Zhang, S Feuerriegel
The Web Conference (WebConf 2022), 2022
22022
Interpretable Off-Policy Learning via Hyperbox Search
D Tschernutter, T Hatt, S Feuerriegel
International Conference on Machine Learning (ICML), 2022
12022
Estimating conditional average treatment effects with missing treatment information
M Kuzmanovic, T Hatt, S Feuerriegel
arXiv preprint arXiv:2203.01422, 2022
12022
Estimating average causal effects from patient trajectories
D Frauen, T Hatt, V Melnychuk, S Feuerriegel
arXiv preprint arXiv:2203.01228, 2022
12022
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model
T Hatt, S Feuerriegel
arXiv preprint arXiv:2208.03937, 2022
2022
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction
Y Li, T Hatt, I Bica, M van der Schaar
arXiv preprint arXiv:2208.01373, 2022
2022
Personalized Medicine using Real-World Data: a Causal Machine Learning Approach
T Hatt
ETH Zurich, 2022
2022
Estimating Treatment Effects via Orthogonal Regularization
T Hatt, S Feuerriegel
2020
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Articles 1–15