1 code implementation • 4 Jul 2022 • Ernesto Araya, Eglantine Karlé, Hemant Tyagi
In this setup, we are given a sequence of comparison graphs $(G_t)_{t\in \mathcal{T}}$, where $\mathcal{T} \subset [0, 1]$ is a grid representing the time domain, and for each item $i$ and time $t\in \mathcal{T}$ there is an associated unknown strength parameter $z^*_{t, i}\in \mathbb{R}$.
no code implementations • 8 Apr 2022 • Ernesto Araya, Guillaume Braun, Hemant Tyagi
In the \emph{graph matching} problem we observe two graphs $G, H$ and the goal is to find an assignment (or matching) between their vertices such that some measure of edge agreement is maximized.
1 code implementation • NeurIPS 2019 • Ernesto Araya, Yohann de Castro
We introduce a spectral estimator of the pairwise distance between latent points and we prove that its rate of convergence is the same as the nonparametric estimation of a function on $\mathbb{S}^{d-1}$, up to a logarithmic factor.