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Yaroslav Kivva

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Related publications (4)

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On the identifiability and estimation of causal effects

Yaroslav Kivva

Understanding causal relationships lies at the heart of scientific inquiry. Across disciplines, from medicine and public health to economics (Card, 1993; Angrist and Krueger, 1991), social sciences (Rosenbaum and Rubin, 1983; Imbens, 2024), epidemiology (R ...

EPFL2025

(Dis)assortative partitions on random regular graphs

Lenka Zdeborová, Freya Behrens, Yaroslav Kivva

We study the problem of assortative and disassortative partitions on random dregular graphs. Nodes in the graph are partitioned into two non-empty groups. In the assortative partition every node requires at least H of their neighbors to be in their own gro ...

IOP Publishing Ltd2022

Revisiting the General Identifiability Problem

Negar Kiyavash, Seyed Jalal Etesami, Ehsan Mokhtarian, Yaroslav Kivva

We revisit the problem of general identifiability originally introduced in [Lee et al., 2019] for causal inference and note that it is necessary to add positivity assumption of observational distribution to the original definition of the problem. We show t ...

2022

On Identifiability of Conditional Causal Effects

Negar Kiyavash, Seyed Jalal Etesami, Yaroslav Kivva

We address the problem of identifiability of an arbitrary conditional causal effect given both the causal graph and a set of any observational and/or interventional distributions of the form Q[S] :" P p(S|do(V/S)), where V denotes the set of all observed v ...

2023