Gaussian Process Conjoint Analysis for Adaptive Marginal Effect Estimation(preprint)
Published in arxiv, 2024
Yehu Chen, Jacob Montgomery and Roman Garnett.
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Publications
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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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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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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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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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.
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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.
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