221 citations
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11 papers · 1 filter
Certifying ground-state properties of quantum many-body systems
Jie Wang, Jacopo Surace, Irénée Frérot +4
A ubiquitous problem in quantum physics is to understand the ground-state properties of many-body systems. Confronted with the fact that exact diagonalisation quickly becomes impos…
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts
Pierre Nodet, Vincent Lemaire, Alexis Bondu +1
Training machine learning models from data with weak supervision and dataset shifts is still challenging. Designing algorithms when these two situations arise has not been explored…
Hoeffding-type decomposition for -statistics on bipartite networks
Tâm Le Minh, Sophie Donnet, François Massol +1
We consider a broad class of random bipartite networks, the distribution of which is invariant under permutation within each type of nodes. We are interested in -statistics defi…
Finite-sum optimization: Adaptivity to smoothness and loopless variance reduction
Bastien Batardière, Joon Kwon
For finite-sum optimization, variance-reduced gradient methods (VR) compute at each iteration the gradient of a single function (or of a mini-batch), and yet achieve faster converg…
A Bayesian Framework for Multivariate Differential Analysis
Marie Chion, Arthur Leroy
Differential analysis is a routine procedure in the statistical analysis toolbox across many applied fields, including quantitative proteomics, the main illustration of the present…
A novel approach for estimating functions in the multivariate setting based on an adaptive knot selection for B-splines with an application to a chemical system used in geoscience
Mary E. Savino, Céline Lévy-Leduc
In this paper, we will outline a novel data-driven method for estimating functions in a multivariate nonparametric regression model based on an adaptive knot selection for B-spline…