Dominik Rothenhäusler
5 papers · 2015–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (9)
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Conferences
JMLR (3)
NIPS (2)
Top co-authors
Keywords
sampling uncertainty
(2)
confidence interval
(2)
transfer learning
(1)
causal discovery
(1)
causal effect estimation
(1)
stability analysis
(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 datum
(1)
high-dimensional regularization
(1)
estimation efficiency
(1)
Papers
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
The s-value: evaluating stability with respect to distributional shifts
NIPS 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data
JMLR 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
NIPS 2015