4 citations · 9 across the 8 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2022
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model
Tobias Hatt, Stefan Feuerriegel
In order to steer e-commerce users towards making a purchase, marketers rely upon predictions of when users exit without purchasing. Previously, such predictions were based upon hi…
cs.LG2021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt +1
Clinical practice in intensive care units (ICUs) requires early warnings when a patient's condition is about to deteriorate so that preventive measures can be undertaken. To this e…
cs.LG2021
Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt, Stefan Feuerriegel
Decision-making often requires accurate estimation of treatment effects from observational data. This is challenging as outcomes of alternative decisions are not observed and have…