Flavien Léger
Applied Mathematics and Optimization · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Whom Flavien Léger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Flavien Léger overall
Papers from Flavien Léger's perspective
Ordered by how strongly the researchers Flavien Léger trusts endorse each paper. Same corpus, a different order for every researcher.
- Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm (International Conference on Machine Learning)
- Optimal Transport
- The Earth Mover's Distance as a Metric for Image Retrieval
- Stochastic Optimization for Large-scale Optimal Transport
- Fast and robust Earth Mover's Distances
- Smooth minimization of non-smooth functions
- Iterative Bregman Projections for Regularized Transportation Problems
- Sinkhorn Distances: Lightspeed Computation of Optimal Transport
- From Word Embeddings To Document Distances
- Much Faster Algorithms for Matrix Scaling
Their papers
- A Gradient Descent Perspective on Sinkhorn (2020) — 51 citations