Jue Hou

According to our database, Jue Hou authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response.

Jue Hou, Rajarshi Mukherjee, Tianxi Cai

J. Mach. Learn. Res., 2025

2024

LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.

Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul Ayakulangara Panickan, Lauren Costa, Chuan Hong, John Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai

Patterns, January, 2024

Clustering Sequence Data with Mixture Markov Chains with Covariates Using Multiple Simplex Constrained Optimization Routine (MSiCOR).

Priyam Das, Deborshee Sen, Debsurya De, Jue Hou, Zahra Shakeri Hossein Abad, Nicole Kim, Zongqi Xia, Tianxi Cai

J. Comput. Graph. Stat., 2024

Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.

Isabelle-Emmanuella Nogues, Jun Wen, Yihan Zhao, Clara-Lea Bonzel, Victor M. Castro, Yucong Lin, Shike Xu, Jue Hou, Tianxi Cai

J. Biomed. Informatics, 2024

2023

Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction.

Jue Hou, Zijian Guo, Tianxi Cai

J. Mach. Learn. Res., 2023