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cs.LG2026
Expectation Maximization (EM) Converges for General Agnostic Mixtures
Avishek Ghosh
Mixture of linear regression is well studied in statistics and machine learning, where the data points are generated probabilistically using linear models. Algorithms like Expe…
cs.LG2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh +1
Treatment effect estimation involves assessing the impact of different treatments on individual outcomes. Current methods estimate Conditional Average Treatment Effect (CATE) using…
cs.LG2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh +1
Given a dataset of individuals each described by a covariate vector, a treatment, and an observed outcome on the treatment, the goal of the individual treatment effect (ITE) estima…