2 papers
stat.ML2026
Doubly robust identification of treatment effects from multiple environments
Piersilvio De Bartolomeis, Julia Kostin, Javier Abad +2
Practical and ethical constraints often require the use of observational data for causal inference, particularly in medicine and social sciences. Yet, observational datasets are pr…
stat.ML2025
Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin, Nicola Gnecco, Fanny Yang
In safety-critical applications, machine learning models should generalize well under worst-case distribution shifts, that is, have a small robust risk. Invariance-based algorithms…