Jiahe Lin - RankMe

18 papers A* 1A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees. CoRR Jiahe Lin, Yikai Zhang, George Michailidis
2025	J	`jnl`	Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees. Trans. Mach. Learn. Res. Jiahe Lin, Yikai Zhang, George Michailidis
2025	J	`jnl`	Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization. CoRR Kevin Rojas, Jiahe Lin, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Molei Tao, Wei Deng
2025	J	`jnl`	Reweighting Improves Conditional Risk Bounds. CoRR Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka
2025	J	`jnl`	Reweighting Improves Conditional Risk Bounds. Trans. Mach. Learn. Res. Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka
2025	A*	`conf`	Whisk: Inducing Altruistic Behavior to Relieve Child Dental Anxiety. HRI Shuzi Yin, Bingjie Gao, Rui Zhang, Jiahe Lin, Yeonsu Shin, Yijie Guo, Haipeng Mi
2024	J	`jnl`	A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. CoRR Jiahe Lin, Huitian Lei, George Michailidis
2024	J	`jnl`	A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity. Trans. Mach. Learn. Res. Jiahe Lin, Huitian Lei, George Michailidis
2024	J	`jnl`	Deep Learning-based Approaches for State Space Models: A Selective Review. CoRR Jiahe Lin, George Michailidis
2024	J	`jnl`	Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate. CoRR Fengpei Li, Haoxian Chen, Jiahe Lin, Arkin Gupta, Xiaowei Tan, Gang Xu, Yuriy Nevmyvaka, Agostino Capponi, Henry Lam
2024	J	`jnl`	Structural Discovery with Partial Ordering Information for Time-Dependent Data with Convergence Guarantees. J. Comput. Graph. Stat. Jiahe Lin, Huitian Lei, George Michailidis
2023	J	`jnl`	"Kaleidoscope Eyes": The Exploration of a Sense of Place Through Art Strolling in Mozilla Hubs. Int. J. Emerg. Technol. Learn. Jiahe Lin
2023	A	`conf`	Risk Bounds on Aleatoric Uncertainty Recovery. AISTATS Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka
2022	J	`jnl`	Nonlinear modeling and prediction of forklift acoustic annoyance based on the improved neural networks. Simul. Enlai Zhang, Jiading Lian, Jingjing Zhang, Jiahe Lin
2020	J	`jnl`	Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models. J. Mach. Learn. Res. Jiahe Lin, George Michailidis
2020	J	`jnl`	System Identification of High-Dimensional Linear Dynamical Systems With Serially Correlated Output Noise Components. IEEE Trans. Signal Process. Jiahe Lin, George Michailidis
2017	J	`jnl`	Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models. J. Mach. Learn. Res. Jiahe Lin, George Michailidis
2016	J	`jnl`	Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models. J. Mach. Learn. Res. Jiahe Lin, Sumanta Basu, Moulinath Banerjee, George Michailidis