Prediction Risk for the Horseshoe Regression. - Anindya Bhadra; Jyotishka Datta; Yunfan Li 005; Nicholas G. Polson; Brandon T. Willard (J. Mach. Learn. Res., 2019)

FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints. - Souradip Chakraborty; Ekansh Verma; Saswata Sahoo; Jyotishka Datta (ICDM (Workshops), 2020)

Merging Two Cultures: Deep and Statistical Learning. - Anindya Bhadra; Jyotishka Datta; Nicholas G. Polson; Vadim Sokolov; Jianeng Xu (CoRR, 2021)

Joint mean-covariance estimation via the horseshoe. - Yunfan Li 005; Jyotishka Datta; Bruce A. Craig; Anindya Bhadra (J. Multivar. Anal., 2021)

Quantifying the Effect of Socio-Economic Predictors and the Built Environment on Mental Health Events in Little Rock, AR. - Alfieri Ek; Grant Drawve; Samantha Robinson; Jyotishka Datta (ISPRS Int. J. Geo Inf., 2023)

Bayesian Deep ICE. - Jyotishka Datta; Nicholas G. Polson (CoRR, 2024)

Predicting student self-efficacy in Muslim societies using machine learning algorithms. - Mohammed Ba-Aoum; Mohammed Alrezq; Jyotishka Datta; Konstantinos P. Triantis (Frontiers Big Data, 2024)