Jiahe Lin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Linear Dynamical Systems

Distributed Learning

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Signal Process.

Publications

Jiahe Lin, Huitian Lei, George Michailidis
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. CoRR (2024)
Jiahe Lin, Huitian Lei, George Michailidis
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. Trans. Mach. Learn. Res. 2024 (2024)
Jiahe Lin
"Kaleidoscope Eyes": The Exploration of a Sense of Place Through Art Strolling in Mozilla Hubs. Int. J. Emerg. Technol. Learn. 18 (9) (2023)
Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka
Risk Bounds on Aleatoric Uncertainty Recovery. AISTATS (2023)
Enlai Zhang, Jiading Lian, Jingjing Zhang, Jiahe Lin
Nonlinear modeling and prediction of forklift acoustic annoyance based on the improved neural networks. Simul. 98 (7) (2022)
Jiahe Lin, George Michailidis
Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models. J. Mach. Learn. Res. 21 (2020)
Jiahe Lin, George Michailidis
System Identification of High-Dimensional Linear Dynamical Systems With Serially Correlated Output Noise Components. IEEE Trans. Signal Process. 68 (2020)
Jiahe Lin, George Michailidis
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models. J. Mach. Learn. Res. 18 (2017)
Jiahe Lin, Sumanta Basu, Moulinath Banerjee, George Michailidis
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models. J. Mach. Learn. Res. 17 (2016)