3 papers
stat.ML2025
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
Jianqing Fan, Soham Jana, Sanjeev Kulkarni +1
We investigate the problem of estimating the average treatment effect (ATE) under a very general setup where the covariates can be high-dimensional, highly correlated, and can have…
math.ST2024
A provable initialization and robust clustering method for general mixture models
Soham Jana, Jianqing Fan, Sanjeev Kulkarni
Clustering is a fundamental tool in statistical machine learning in the presence of heterogeneous data. Most recent results focus primarily on optimal mislabeling guarantees when d…
math.ST2024
Factor Adjusted Spectral Clustering for Mixture Models
Shange Tang, Soham Jana, Jianqing Fan
This paper studies a factor modeling-based approach for clustering high-dimensional data generated from a mixture of strongly correlated variables. Statistical modeling with correl…