4 papers · 1 filter
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…
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…
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,…
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande +1
Several real-life applications require crafting concise, quantitative scoring functions (also called rating systems) from measured observations. For example, an effectiveness score…