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Yves-Laurent Kom Samo

2 accepted papers

2021

Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach

AISTATS 2021poster

We propose a novel estimator of the mutual information between two ordinal vectors $x$ and $y$. Our approach is inductive (as opposed to deductive) in that it depends on the data generating distribution solely through some nonparametric properties revealing associations in the data, and does not req…

2015

Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes

ICML 2015poster

In this paper we propose an efficient, scalable non-parametric Gaussian process model for inference on Poisson point processes. Our model does not resort to gridding the domain or to introducing latent thinning points. Unlike competing models that scale as O(n^3) over n data points, our model has a…

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