Cover Image

Beyond entropic regularization: Debiased Gaussian estimators for discrete optimal transport and general linear programs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Shuyu, Bunea, Florentina, Niles-Weed, Jonathan
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimation and inference for the Wasserstein distance between mixing measures in topic models
by: Bing, Xin, et al.
Published: (2022)

Learning large softmax mixtures with warm start EM
by: Bing, Xin, et al.
Published: (2024)

Entropic estimation of optimal transport maps
by: Pooladian, Aram-Alexandre, et al.
Published: (2021)

Statistical optimal transport
by: Chewi, Sinho, et al.
Published: (2024)

Optimal transport map estimation in general function spaces
by: Divol, Vincent, et al.
Published: (2022)

Approximate independence of permutation mixtures
by: Han, Yanjun, et al.
Published: (2024)

Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
by: Manole, Tudor, et al.
Published: (2021)

Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences
by: Gonzalez-Sanz, Alberto, et al.
Published: (2022)

The Adversarial Consistency of Surrogate Risks for Binary Classification
by: Frank, Natalie, et al.
Published: (2023)

Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
by: Frank, Natalie S., et al.
Published: (2022)

The entropic optimal (self-)transport problem: Limit distributions for decreasing regularization with application to score function estimation
by: Mordant, Gilles
Published: (2024)

Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
by: Han, Yanjun, et al.
Published: (2025)

Plugin Estimation of Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2021)

Wasserstein Least Squares: A Canonical Regression Method for Probability Distributions
by: León, Uriel Martínez, et al.
Published: (2026)

Central Limit Theorems for Smooth Optimal Transport Maps
by: Manole, Tudor, et al.
Published: (2023)

Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
by: Bercu, Bernard, et al.
Published: (2018)

Reweighted information inequalities
by: Niles-Weed, Jonathan
Published: (2026)

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
by: Baptista, Ricardo, et al.
Published: (2024)

On the robustness of semi-discrete optimal transport
by: Paindaveine, Davy, et al.
Published: (2024)

Inference in partially identified moment models via regularized optimal transport
by: Franguridi, Grigory, et al.
Published: (2025)

Equivalence of optimal transport problems to regularization on the family of f-divergences
by: Nicaise, Maxime, et al.
Published: (2026)

Sample complexity for divergence regularized optimal transport with radial cost
by: Han, Ruiyu, et al.
Published: (2025)

Sample complexity of optimal transport barycenters with discrete support
by: Portales, Léo, et al.
Published: (2025)

Minimax and adaptive estimation of general linear functionals under sparsity
by: Xie, Jie, et al.
Published: (2025)

A graph-space optimal transport FWI approach based on κ-generalized Gaussian distribution
by: da Silva, Sérgio Luiz E. F., et al.
Published: (2024)

Malliavin calculus for the optimal estimation of the invariant density of discretely observed diffusions in intermediate regime
by: Amorino, Chiara, et al.
Published: (2022)

Tight stability bounds for entropic Brenier maps
by: Divol, Vincent, et al.
Published: (2024)

HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
by: Song, Yanke, et al.
Published: (2024)

Grenander--Stone estimator: stacked constrained estimation of a discrete distribution over a general directed acyclic graph
by: Pastukhov, Vladimir
Published: (2022)

Finite sample-optimal adjustment sets in linear Gaussian causal models
by: Rutsch, Nadja, et al.
Published: (2025)

Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)

Universality laws for Gaussian mixtures in generalized linear models
by: Dandi, Yatin, et al.
Published: (2023)

Sharp local sparsity of regularized optimal transport
by: González-Sanz, Alberto, et al.
Published: (2026)

Valid and efficient possibilistic structure learning in Gaussian linear regression
by: Martin, Ryan, et al.
Published: (2025)

On optimal linear prediction
by: Helland, Inge S.
Published: (2024)

Gaussian mixtures closest to a given measure via optimal transport
by: Lasserre, Jean-Bernard
Published: (2024)

New closed-form estimators for discrete distributions
by: Fischer, Adrian
Published: (2025)

Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails
by: Oliveira, Roberto I., et al.
Published: (2022)

Efficient estimation of partially linear additive Cox models and variance estimation under shape restrictions
by: Lang, Junjun, et al.
Published: (2024)

On estimation of skewed stable linear regression
by: Kawamo, Eitaro, et al.
Published: (2024)