activity
20202026
most citedLearning and Sampling of Atomic Interventions from Observations

3 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CC2026

Spectral Methods for the Complexity of Planar Graph Homomorphisms

Ashwin Maran, Jin-Yi Cai, Zhuxiao Tang

We explore the frontier beyond the recently discovered barrier represented by the \emph{quantum automorphism group} in the classification theory of planar graph homomorphi…

cs.CC2026

Planar Graph Homomorphisms: A Dichotomy and a Barrier from Quantum Groups

Jin-Yi Cai, Ashwin Maran, Ben Young

We study the complexity of counting (weighted) planar graph homomorphism problem parametrized by an arbitrary symmetric non-negative real valued matrix .…

cs.CC2024★ 1 cited

Polynomial and analytic methods for classifying complexity of planar graph homomorphisms

Jin-Yi Cai, Ashwin Maran

We introduce some polynomial and analytic methods in the classification program for the complexity of planar graph homomorphisms. These methods allow us to handle infinitely many l…

cs.CC2023

The complexity of counting planar graph homomorphisms of domain size 3

Jin-Yi Cai, Ashwin Maran

We prove a complexity dichotomy theorem for counting planar graph homomorphisms of domain size 3. Given any 3 by 3 real valued symmetric matrix defining a graph homomorphism fr…

cs.DS2022★ 1 cited

Counting Cycles on Planar Graphs in Subexponential Time

Jin-Yi Cai, Ashwin Maran

We study the problem of counting all cycles or self-avoiding walks (SAWs) on triangulated planar graphs. We present a subexponential time algorithm for this count…

cs.LG2020★ 3 cited

Learning and Sampling of Atomic Interventions from Observations

Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy +2

We study the problem of efficiently estimating the effect of an intervention on a single variable (atomic interventions) using observational samples in a causal Bayesian network. O…