activity
20202022
most citedThe Representation Power of Neural Networks: Breaking the Curse of Dimensionality

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DM2022

Additional Results and Extensions for the paper "Probabilistic bounds on the Traveling Salesman Problem and the Traveling Repairman Problem''

Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet

This technical report provides additional results for the main paper ``Probabilistic bounds on the Traveling Salesman Problem (TSP) and the Traveling Repairman Problem (TRP…

cs.DM20222 cited

Probabilistic bounds on the Traveling Salesman Problem and the Traveling Repairman Problem

Moïse Blanchard, Alexandre Jacquillat, Patrick Jaillet

The traveling salesman problem (-TSP) seeks a tour of minimal length that visits a subset of points. The traveling repairman problem (TRP) seeks a complete tour wi…

stat.ML20221 cited

Universal Online Learning with Unbounded Losses: Memory Is All You Need

Moise Blanchard, Romain Cosson, Steve Hanneke

We resolve an open problem of Hanneke on the subject of universally consistent online learning with non-i.i.d. processes and unbounded losses. The notion of an optimistically unive…

cs.LG20213 cited

The Representation Power of Neural Networks: Breaking the Curse of Dimensionality

Moise Blanchard, M. Amine Bennouna

In this paper, we analyze the number of neurons and training parameters that a neural networks needs to approximate multivariate functions of bounded second mixed derivatives -- Ko…

math.OC2020

On the Length of Monotone Paths in Polyhedra

Moïse Blanchard, Jesùs A. De Loera, Quentin Louveaux

Motivated by the problem of bounding the number of iterations of the Simplex algorithm we investigate the possible lengths of monotone paths followed by the Simplex method inside t…