Tobias Hatt

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Markov Modulated

Sample Selection Bias

Top Venues

Publications

Tobias Hatt, Stefan Feuerriegel
Sequential Deconfounding for Causal Inference with Unobserved Confounders. CLeaR (2024)
Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD (2024)
Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR (2024)
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
Estimating Conditional Average Treatment Effects with Missing Treatment Information. AISTATS (2023)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating Average Causal Effects from Patient Trajectories. AAAI (2023)
Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
Generalizing off-policy learning under sample selection bias. UAI (2022)
Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
Interpretable Off-Policy Learning via Hyperbox Search. CoRR (2022)
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
Estimating Conditional Average Treatment Effects with Missing Treatment Information. CoRR (2022)
Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR (2022)
Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel
A Deep Markov Model for Clickstream Analytics in Online Shopping. WWW (2022)
Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
Interpretable Off-Policy Learning via Hyperbox Search. ICML (2022)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating average causal effects from patient trajectories. CoRR (2022)
Tobias Hatt, Stefan Feuerriegel
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model. CoRR (2022)
Yanke Li, Tobias Hatt, Ioana Bica, Mihaela van der Schaar
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction. CoRR (2022)
Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. CoRR (2021)
Tobias Hatt, Stefan Feuerriegel
Sequential Deconfounding for Causal Inference with Unobserved Confounders. CoRR (2021)
Tobias Hatt, Stefan Feuerriegel
Estimating Average Treatment Effects via Orthogonal Regularization. CoRR (2021)
Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. KDD (2021)
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. CoRR (2021)
Tobias Hatt, Stefan Feuerriegel
Estimating Average Treatment Effects via Orthogonal Regularization. CIKM (2021)
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies. ML4H@NeurIPS (2021)
Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
Generalizing Off-Policy Learning under Sample Selection Bias. CoRR (2021)
Tobias Hatt, Stefan Feuerriegel
Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model. WWW (2020)