Dominik Rothenhäusler
5 papers · 2015–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
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Venues
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Research topics
Keywords
sampling uncertainty
(2)
confidence interval
(2)
transfer learning
(1)
causal discovery
(1)
causal effect estimation
(1)
stability analysis
(1)
time series
(1)
sparse regression
(1)
kullback-leibler divergence
(1)
high-dimensional regression
(1)
linear regression
(1)
conditional independence
(1)
graphical model
(1)
latent variable
(1)
generalized linear model
(1)
distributional shift
(1)
causal graph
(1)
instrumental variable
(1)
auxiliary data
(1)
high-dimensional regularization
(1)
Papers
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
JMLR 2023
The s-value: evaluating stability with respect to distributional shifts
NeurIPS 2023
Causal Aggregation: Estimation and Inference of Causal Effects by Constraint-Based Data Fusion
JMLR 2022
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
NeurIPS 2015