Publications

Transfer learning for graphical models and differential graph estimation with FDR control

Chang, J., Auddy, A., and Paul, S. (2025–).

Residual Learning Enhanced Koopman Model Predictive Control for Unmanned Aerial Vehicles

In progress.

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes

Chang, J., Auddy, A., and Paul, S. (2026).

arXiv preprint.

Recidivism and Peer Influence with LLM Text Embeddings in Low Security Correctional Facilities

Nath, S., Hong, J., Chang, J., Warren, K. and Paul, S. (2025).

Journal of Econometrics. Revise and resubmit.

Heterogeneous Transfer Learning for High-Dimensional Regression with Feature Mismatch

Chang, J., Russo, M. and Paul, S. (2024).

arXiv preprint.

Embedding Network Autoregression for Time Series Analysis and Causal Peer Effect Inference

Chang, J. and Paul, S. (2026).

Journal of Machine Learning Research, 27(111):1–72, 2026.

An Asymptotically Efficient Closed-Form Estimator for the Dirichlet Distribution

Chang, J., Lee, S., and Kim, H. (2023).

Stat, 12(1).

Further Sharpening of Jensen’s Inequality

Lee, S., Chang, J., and Kim, H. (2021).

Statistics, 55(5).

High-Dimensional Linear Discriminant Analysis with Moderately Clipped LASSO

Chang, J., Moon, H., and Kwon, S. (2021).

Communications for Statistical Applications and Methods, 28(1).