A moment-matching metric for latent variable generative models
Cédric Beaulac
Preprint submitted to Journal of Machine Learning Research for review.
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Publications
Analysis of a high-resolution hand-written digits data set with writer characteristics
Cédric Beaulac and Jeffrey S. Rosenthal
Preprint submitted to International Journal on Document Analysis and Recognition for review.
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An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne Wolden and David Hodgson
Published in Applied Artificial Intelligence, October 2020
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BEST : A decision tree algorithm that handles missing values
Cédric Beaulac and Jeffrey S. Rosenthal
Published in Computational Statistics, April 2020
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Predicting University Students’ Academic Success and Major using Random Forests
Cédric Beaulac and Jeffrey S. Rosenthal
Published in Research in Higher Education, January 2019
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A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
Cédric Beaulac, Jeffrey S. Rosenthal and David Hodgson
Published in Proceedings of the Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, December 2018
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Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models
Cédric Beaulac and Fabrice Larribe
Published in International Journal of Computer Games Technology, February 2017
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