Conditional supports in multivariate L^p-entropy regularized optimal transport shrink locally at the sharp rate ε^{1/(d(p-1)+2)} away from boundaries.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Establishes linear L2 convergence of dual gradient descent for quadratically regularized OT via spectral analysis showing the linearized operator is a strict contraction.
Provides asymptotic distributions for entropic OT plans and potentials under vanishing regularization and links self-transport barycentric projections to score functions.
citing papers explorer
-
Sharp local sparsity of regularized optimal transport
Conditional supports in multivariate L^p-entropy regularized optimal transport shrink locally at the sharp rate ε^{1/(d(p-1)+2)} away from boundaries.
-
Linear Convergence of Gradient Descent for Quadratically Regularized Optimal Transport
Establishes linear L2 convergence of dual gradient descent for quadratically regularized OT via spectral analysis showing the linearized operator is a strict contraction.
-
The entropic optimal (self-)transport problem: Limit distributions for decreasing regularization with application to score function estimation
Provides asymptotic distributions for entropic OT plans and potentials under vanishing regularization and links self-transport barycentric projections to score functions.