Nicolas Vayatis

ENS Paris-Saclay

Professor

4 avenue des sciences

Gif-sur-Yvette, 91190

France

SCHOLARLY PAPERS

2

DOWNLOADS

377

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

Pandemic Lock-down, Isolation, and Exit Policies Based on Machine Learning Predictions

Production and Operations Management, Special Issue on Managing Pandemics: A POM Perspective
Number of pages: 40 Posted: 12 May 2020 Last Revised: 04 Mar 2022
Theodoros Evgeniou, Mathilde Fekom, Anton Ovchinnikov, Raphael Porcher, Camille Pouchol and Nicolas Vayatis
INSEAD, University of Paris-Saclay, Smith School of Business - Queen's University, Université Côte d'Azur - INSERM, MAP5, FP2M, CNRS FR 2036, Université de Paris and ENS Paris-Saclay
Downloads 269 (165,102)

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COVID-19, Epidemiology, Pandemics, Outbreaks, Epidemic Models, Machine Learning, Data Science, Prediction Models

2.

A Weighting Scheme for One-Shot Federated Learning

INSEAD Working Paper No. 2023/57/DSC
Number of pages: 31 Posted: 16 Feb 2022 Last Revised: 19 Oct 2023
Marie Garin, Theodoros Evgeniou and Nicolas Vayatis
ENS Paris-Saclay, INSEAD and ENS Paris-Saclay
Downloads 108 (540,324)

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Federated Learning, Distributed Learning, Ensemble Learning, Optimization, Linear Models