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cs.LG2026
GENESIS: Towards Explainable Causal Discovery
Abhinav Thorat, Ravi Kumar Kolla, Vishak K Bhat +2
Causal Discovery (CD) from observational data faces two fundamental challenges. First, purely statistical methods often lack the power to resolve structural ambiguities in low-samp…
cs.LG2025
KANITE: Kolmogorov-Arnold Networks for ITE estimation
Eshan Mehendale, Abhinav Thorat, Ravi Kolla +1
We introduce KANITE, a framework leveraging Kolmogorov-Arnold Networks (KANs) for Individual Treatment Effect (ITE) estimation under multiple treatments setting in causal inference…
cs.LG2023
Estimation of individual causal effects in network setup for multiple treatments
Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar +1
We study the problem of estimation of Individual Treatment Effects (ITE) in the context of multiple treatments and networked observational data. Leveraging the network information,…