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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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publications
Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets
Published in Plos one, 2020
Simeone Marino, Yi Zhao, Nina Zhou, Yiwang Zhou, Arthur W. Toga,Lu Zhao, Yingsi Jian, Yichen Yang, Yehu Chen, Qiucheng Wu, Jessica Wild, Brandon Cummings and Ivo D. Dinov.
Download here
Polls, Context, and Time: A Dynamic Hierarchical Bayesian Forecasting Model for US Senate Elections
Published in Politcal Analysis, 2021
Yehu Chen, Roman Garnett and Jacob M. Montgomery.
Download here
GD-GPIRT: A Gaussian Process Model for Generalized Dynamic Item Response Theory (working paper)
Published in arxiv, 2022
Yehu Chen, JBrandon Duck-Mayr, Jacob Montgomery and Roman Garnett.
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A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data
Published in The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yehu Chen, Annamaria Prati, Jacob Montgomery and Roman Garnett.
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A Gaussian Process Framework for Structured, Flexible, and Interpretable Machine-Learning Models (working paper)
Published in arxiv, 2023
Annamaria Prati, Yehu Chen, Jacob Montgomery, and Roman Garnett.
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Idiographic Personality Gaussian Process for Psychological Assessment
Published in Neurips, 2024
Yehu Chen, Muchen Xi, Jacob Montgomery, Joshua Jackson and Roman Garnett.
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Gaussian Process Conjoint Analysis for Adaptive Marginal Effect Estimation(preprint)
Published in arxiv, 2024
Yehu Chen, Jacob Montgomery and Roman Garnett.
Download here
talks
teaching
Teaching Assistant, Fall 2016 - Summer 2017
Honored Mathematics Series for Undergraduate, UM-SJTU Joint Institute, 2016
Mentored Teaching Experience (Instructor Aid), Spring 2021
CSE 515T Bayesian Methods in Machine Learning, CSE, WUSTL, 2021
Mentored Teaching Experience (Instructor Aid), Fall 2021
Quantitative Political Methodology II, PoliSci, WUSTL, 2021