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
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…
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…