Bounding Causal Effects with Leaky Instruments

1 code implementation • 5 Apr 2024 • David S. Watson, Jordan Penn, Lee M. Gunderson, Gecia Bravo-Hermsdorff, Afsaneh Mastouri, Ricardo Silva

Instrumental variables (IVs) are a popular and powerful tool for estimating causal effects in the presence of unobserved confounding.

Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects

no code implementations • 22 Jun 2021 • Julius von Kügelgen, Nikita Agarwal, Jakob Zeitler, Afsaneh Mastouri, Bernhard Schölkopf

Algorithmic recourse aims to provide actionable recommendations to individuals to obtain a more favourable outcome from an automated decision-making system.

counterfactual Decision Making

Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction

2 code implementations • 10 May 2021 • Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet

In particular, we provide a unifying view of two-stage and moment restriction approaches for solving this problem in a nonlinear setting.

Vocal Bursts Valence Prediction