Search Results for author: Jakob Zeitler

Found 4 papers, 1 papers with code

Non-parametric identifiability and sensitivity analysis of synthetic control models

no code implementations18 Jan 2023 Jakob Zeitler, Athanasios Vlontzos, Ciaran M. Gilligan-Lee

While identifiability of the causal estimand in such models has been obtained from a range of assumptions, it is widely and implicitly assumed that the underlying assumptions are satisfied for all time periods both pre- and post-intervention.

Causal Inference

The Causal Marginal Polytope for Bounding Treatment Effects

no code implementations28 Feb 2022 Jakob Zeitler, Ricardo Silva

Due to unmeasured confounding, it is often not possible to identify causal effects from a postulated model.

Stochastic Causal Programming for Bounding Treatment Effects

1 code implementation22 Feb 2022 Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, Niki Kilbertus

Causal effect estimation is important for many tasks in the natural and social sciences.

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

no code implementations22 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.

Decision Making

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