1 code implementation • 17 May 2022 • Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, François Caron
Under this model, we show that each layer of the infinite-width neural network can be characterised by two simple quantities: a non-negative scalar parameter and a L\'evy measure on the positive reals.
no code implementations • 30 Mar 2020 • Giuseppe Di Benedetto, François Caron, Yee Whye Teh
In particular, the Indian buffet process is a flexible and simple one-parameter feature allocation model where the number of features grows unboundedly with the number of objects.
no code implementations • 26 May 2019 • Juho Lee, Xenia Miscouridou, François Caron
In particular, we show that one can get novel series representations for the generalized gamma process and the stable beta process.
1 code implementation • 13 Feb 2019 • Fadhel Ayed, Juho Lee, François Caron
Bayesian nonparametric approaches, in particular the Pitman-Yor process and the associated two-parameter Chinese Restaurant process, have been successfully used in applications where the data exhibit a power-law behavior.
1 code implementation • 3 Oct 2018 • Juho Lee, Lancelot F. James, Seungjin Choi, François Caron
We consider a non-projective class of inhomogeneous random graph models with interpretable parameters and a number of interesting asymptotic properties.
1 code implementation • NeurIPS 2018 • Xenia Miscouridou, François Caron, Yee Whye Teh
We propose a novel class of network models for temporal dyadic interaction data.
no code implementations • 20 Nov 2017 • Giuseppe Di Benedetto, François Caron, Yee Whye Teh
Along with this result, we provide the asymptotic behaviour of the number of clusters of a given size, and show that the model can exhibit a power-law behavior, controlled by another parameter.
2 code implementations • 14 Feb 2017 • Boris P. Hejblum, Chariff Alkhassim, Raphael Gottardo, François Caron, Rodolphe Thiébaut
DPM models directly estimate the number of cell populations from the data, avoiding model selection issues, and skew $t$-distributions provides robustness to outliers and non-elliptical shape of cell populations.
1 code implementation • 5 Feb 2016 • Adrien Todeschini, Xenia Miscouridou, François Caron
We propose a novel statistical model for sparse networks with overlapping community structure.
no code implementations • 6 Jan 2014 • François Caron, Emily B. Fox
We show that for certain choices of such exchangeable random measures underlying our graph construction, our network process is sparse with power-law degree distribution.
no code implementations • NeurIPS 2013 • Adrien Todeschini, François Caron, Marie Chavent
We propose a novel class of algorithms for low rank matrix completion.
no code implementations • 21 Nov 2012 • François Caron, Yee Whye Teh, Thomas Brendan Murphy
In this paper we propose a Bayesian nonparametric model for clustering partial ranking data.