Feature screening in large scale cluster analysis. - Trambak Banerjee; Gourab Mukherjee; Peter Radchenko (J. Multivar. Anal., 2017)

Rethinking gradient sparsification as total error minimization. - Atal Narayan Sahu; Aritra Dutta; Ahmed M. Abdelmoniem; Trambak Banerjee; Marco Canini; Panos Kalnis (NeurIPS, 2021)

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family. - Trambak Banerjee; Qiang Liu; Gourab Mukherjee; Wengunag Sun (J. Mach. Learn. Res., 2021)

Improved Shrinkage Prediction under a Spiked Covariance Structure. - Trambak Banerjee; Gourab Mukherjee; Debashis Paul (J. Mach. Learn. Res., 2021)

Bootstrapped Edge Count Tests for Nonparametric Two-Sample Inference Under Heterogeneity. - Trambak Banerjee; Bhaswar B. Bhattacharya; Gourab Mukherjee (J. Comput. Graph. Stat., 2025)

Nonparametric empirical bayes prediction in mixed models. - Trambak Banerjee; Padma Sharma (Stat. Comput., 2025)