Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models. - Jiahe Lin; Sumanta Basu; Moulinath Banerjee; George Michailidis (J. Mach. Learn. Res., 2016)

Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models. - Jiahe Lin; George Michailidis (J. Mach. Learn. Res., 2017)

Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models. - Jiahe Lin; George Michailidis (J. Mach. Learn. Res., 2020)

System Identification of High-Dimensional Linear Dynamical Systems With Serially Correlated Output Noise Components. - Jiahe Lin; George Michailidis (IEEE Trans. Signal Process., 2020)

Nonlinear modeling and prediction of forklift acoustic annoyance based on the improved neural networks. - Enlai Zhang; Jiading Lian; Jingjing Zhang; Jiahe Lin (Simul., 2022)

Risk Bounds on Aleatoric Uncertainty Recovery. - Yikai Zhang 003; Jiahe Lin; Fengpei Li; Yeshaya Adler; Kashif Rasul; Anderson Schneider; Yuriy Nevmyvaka (AISTATS, 2023)

"Kaleidoscope Eyes": The Exploration of a Sense of Place Through Art Strolling in Mozilla Hubs. - Jiahe Lin (Int. J. Emerg. Technol. Learn., 2023)

Deep Learning-based Approaches for State Space Models: A Selective Review. - Jiahe Lin; George Michailidis (CoRR, 2024)

Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate. - Fengpei Li; Haoxian Chen 002; Jiahe Lin; Arkin Gupta; Xiaowei Tan; Gang Xu; Yuriy Nevmyvaka; Agostino Capponi; Henry Lam (CoRR, 2024)

Structural Discovery with Partial Ordering Information for Time-Dependent Data with Convergence Guarantees. - Jiahe Lin; Huitian Lei; George Michailidis (J. Comput. Graph. Stat., 2024)

A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. - Jiahe Lin; Huitian Lei; George Michailidis (Trans. Mach. Learn. Res., 2024)

Whisk: Inducing Altruistic Behavior to Relieve Child Dental Anxiety. - Shuzi Yin; Bingjie Gao; Rui Zhang; Jiahe Lin; Yeonsu Shin; Yijie Guo; Haipeng Mi (HRI, 2025)

Reweighting Improves Conditional Risk Bounds. - Yikai Zhang 003; Jiahe Lin; Fengpei Li; Songzhu Zheng; Anant Raj; Anderson Schneider; Yuriy Nevmyvaka (Trans. Mach. Learn. Res., 2025)

Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees. - Jiahe Lin; Yikai Zhang 003; George Michailidis (Trans. Mach. Learn. Res., 2025)