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Vincent Divol

4 papers · 2021–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

ICML (2) JMLR (1) NeurIPS (1)

Top co-authors

Jonathan Niles-Weed (1) David Cohen-Steiner (1) Aram-Alexandre Pooladian (1) Solenne Gaucher (1) Charles Arnal (1) Theo Lacombe (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Mathematics & Optimization (2) Mathematics (2) Optimization (2) Artificial Intelligence (1) Application Areas (1) Core AI (1) Core Methods (1)

Keywords

minimax estimation (2) topological data analysis (2) optimal transport (2) fair classification (1) curse of dimensionality (1) cost-sensitive classification (1) manifold sampling (1) persistent homology (1) parametric rate (1) entropic optimal transport (1) fair regression (1) demographic parity (1) persistence diagram (1) optimal transport map (1) semi-discrete case (1) expected persistence diagram (1) discontinuous map (1) wasserstein distance (1) unawareness framework (1) manifold learning (1)

Papers

Demographic Parity in Regression and Classification Within the Unawareness Framework JMLR 2026 Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NeurIPS 2024 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023 Estimation and Quantization of Expected Persistence Diagrams ICML 2021