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20192023
most citedProximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction

9 citations · 18 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.LG2023

Pragmatic Fairness: Developing Policies with Outcome Disparity Control

Limor Gultchin, Siyuan Guo, Alan Malek +2

We introduce a causal framework for designing optimal policies that satisfy fairness constraints. We take a pragmatic approach asking what we can do with an action space available…

cs.LG2022★ 2 cited

Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach

Yuchen Zhu, Limor Gultchin, Arthur Gretton +2

We propose a kernel-based nonparametric estimator for the causal effect when the cause is corrupted by error. We do so by generalizing estimation in the instrumental variable setti…

cs.LG2022

Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy

Limor Gultchin, Vincent Cohen-Addad, Sophie Giffard-Roisin +2

Among the various aspects of algorithmic fairness studied in recent years, the tension between satisfying both \textit{sufficiency} and \textit{separation} -- e.g. the ratios of po…

cs.LG2021★ 1 cited

Operationalizing Complex Causes: A Pragmatic View of Mediation

Limor Gultchin, David S. Watson, Matt J. Kusner +1

We examine the problem of causal response estimation for complex objects (e.g., text, images, genomics). In this setting, classical \emph{atomic} interventions are often not availa…

cs.LG2021★ 9 cited

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

Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin +5

We address the problem of causal effect estimation in the presence of unobserved confounding, but where proxies for the latent confounder(s) are observed. We propose two kernel-bas…

cs.LG2021

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice

David Watson, Limor Gultchin, Ankur Taly +1

Necessity and sufficiency are the building blocks of all successful explanations. Yet despite their importance, these notions have been conceptually underdeveloped and inconsistent…

cs.LG2020

Differentiable Causal Backdoor Discovery

Limor Gultchin, Matt J. Kusner, Varun Kanade +1

Discovering the causal effect of a decision is critical to nearly all forms of decision-making. In particular, it is a key quantity in drug development, in crafting government poli…