Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes. - Yves-Laurent Kom Samo; Stephen J. Roberts (ICML, 2015)

Stochastic Portfolio Theory: A Machine Learning Approach. - Yves-Laurent Kom Samo; Alexander Vervuurt (UAI, 2016)

String and Membrane Gaussian Processes. - Yves-Laurent Kom Samo; Stephen J. Roberts (J. Mach. Learn. Res., 2016)

Advances in kernel methods: towards general-purpose and scalable models. - Yves-Laurent Kom Samo (2017)

Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach. - Yves-Laurent Kom Samo (AISTATS, 2021)

LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects. - Yves-Laurent Kom Samo (CoRR, 2021)