Vincent Divol

According to our database, Vincent Divol authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings.

M. Generali Lince, Vincent Divol, Rémi Flamary, Solenne Gaucher, P. Loiseau

CoRR, May, 2026

2024

Demographic parity in regression and classification within the unawareness framework.

Vincent Divol, Solenne Gaucher

CoRR, 2024

Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds.

Charles Arnal, David Cohen-Steiner, Vincent Divol

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Minimax estimation of discontinuous optimal transport maps: The semi-discrete case.

Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed

Proceedings of the International Conference on Machine Learning, 2023

2021

Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport.

Vincent Divol, Théo Lacombe

J. Appl. Comput. Topol., 2021

Estimation and Quantization of Expected Persistence Diagrams.

Vincent Divol, Théo Lacombe

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Minimax adaptive estimation in manifold inference.

Vincent Divol

CoRR, 2020

2019

On the choice of weight functions for linear representations of persistence diagrams.

Vincent Divol, Wolfgang Polonik

J. Appl. Comput. Topol., 2019

Understanding the Topology and the Geometry of the Persistence Diagram Space via Optimal Partial Transport.

Vincent Divol, Théo Lacombe

CoRR, 2019

2018

The Density of Expected Persistence Diagrams and its Kernel Based Estimation.

Frédéric Chazal, Vincent Divol

Proceedings of the 34th International Symposium on Computational Geometry, 2018