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Julia Kostin

2 accepted papers

2025

Doubly robust identification of treatment effects from multiple environments

ICLR 2025poster

Practical and ethical constraints often require the use of observational data for causal inference, particularly in medicine and social sciences. Yet, observational datasets are prone to confounding, potentially compromising the validity of causal conclusions. While it is possible to correct for b…

2024

Achievable distributional robustness when the robust risk is only partially identified

NeurIPS 2024poster

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 can provably take advantage of structural assumptions on the shifts when the training distributions are heterogeneous e…

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