4 citations · 13 across the 10 of their papers we have counts for
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stat.ML2022
Observational and Interventional Causal Learning for Regret-Minimizing Control
Christian Reiser
We explore how observational and interventional causal discovery methods can be combined. A state-of-the-art observational causal discovery algorithm for time series capable of han…
stat.ML2022
Causal discovery for time series with latent confounders
Christian Reiser
Reconstructing the causal relationships behind the phenomena we observe is a fundamental challenge in all areas of science. Discovering causal relationships through experiments is…
cs.HC2022★ 1 cited
Predicting and Visualizing Daily Mood of People Using Tracking Data of Consumer Devices and Services
Christian Reiser
Users can easily export personal data from devices (e.g., weather station and fitness tracker) and services (e.g., screentime tracker and commits on GitHub) they use but struggle t…