Cover Image

Stability of Wasserstein projections in convex order via metric extrapolation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Jakwang, Kim, Young-Heon, Natale, Andrea
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Statistical inference of convex order by Wasserstein projection
by: Kim, Jakwang, et al.
Published: (2024)

Quantitative Stability of the Shadow for Wasserstein Projections and Sample Complexity
by: Kim, Jakwang
Published: (2026)

Metric extrapolation in the Wasserstein space
by: Gallouët, Thomas O., et al.
Published: (2024)

Structure of average distance minimizers in general dimensions
by: O'Brien, Lucas, et al.
Published: (2025)

The Stefan problem and free targets of optimal Brownian martingale transport
by: Kim, Inwon C., et al.
Published: (2021)

Nesterov acceleration for the Wasserstein minimization of displacement-convex free energies
by: Monmarché, Pierre
Published: (2026)

Variance Decay Property for Filter Stability
by: Kim, Jin Won, et al.
Published: (2023)

Backward Map for Filter Stability Analysis
by: Kim, Jin Won, et al.
Published: (2024)

The Monge-Kantorovich problem on Wasserstein space
by: Emami, Pedram, et al.
Published: (2024)

The Wasserstein Space of Stochastic Processes in Continuous Time
by: Bartl, Daniel, et al.
Published: (2025)

Singular Perturbations of Hamilton-Jacobi Equations in the Wasserstein Space
by: Zitridis, Antonios
Published: (2025)

Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm
by: Eckstein, Stephan
Published: (2023)

Stochastic Maximum Principle for optimal advertising models with delay and non-convex control space
by: Guatteri, Giuseppina, et al.
Published: (2024)

A Unified Control Theory Derivation of Discrete-Time Linear Ensemble Kalman Filters
by: Kim, Jin Won
Published: (2026)

Sliced Wasserstein Geodesics and Equivalence Wasserstein and Sliced Wasserstein metrics
by: Hopper, John Seale
Published: (2024)

Properties of Discrete Sliced Wasserstein Losses
by: Tanguy, Eloi, et al.
Published: (2023)

A Non-convex Optimization Approach of Searching Algebraic Degree Phase-type Representations for General Phase-type Distributions
by: Liu, Yujie, et al.
Published: (2024)

Non-convex entropic mean-field optimization via Best Response flow
by: Lascu, Razvan-Andrei, et al.
Published: (2025)

Optimal transport and Wasserstein distances for causal models
by: Cheridito, Patrick, et al.
Published: (2023)

Complexity Guarantees for Zeroth-order Methods via Exponentially-shifted Gaussian Smoothing: Mitigating Dimension-dependence and Incorporating Decision-dependence
by: Wang, Mingrui, et al.
Published: (2026)

Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line
by: Hertrich, Johannes, et al.
Published: (2023)

Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels
by: Hertrich, Johannes, et al.
Published: (2022)

Linear convergence of proximal descent schemes on the Wasserstein space
by: Lascu, Razvan-Andrei, et al.
Published: (2024)

Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
by: Rychener, Yves, et al.
Published: (2024)

Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses
by: Tanguy, Eloi
Published: (2023)

Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow
by: Li, Qin, et al.
Published: (2024)

An approximation of the squared Wasserstein distance and an application to Hamilton-Jacobi equations
by: Bertucci, Charles, et al.
Published: (2024)

Computable Bounds on Convergence of Markov Chains in Wasserstein Distance via Contractive Drift
by: Qu, Yanlin, et al.
Published: (2023)

A Hierarchical Approach to Robust Stability of Multiclass Queueing Networks
by: Zhao, Feiyang, et al.
Published: (2023)

Null controllability for stochastic fourth order semi-discrete parabolic equations
by: Wang, Yu, et al.
Published: (2024)

Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
by: Piening, Moritz, et al.
Published: (2026)

Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels
by: Altekrüger, Fabian, et al.
Published: (2023)

Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization
by: Dus, Mathias
Published: (2026)

The Number of Overlapping Customers in Erlang-A Queues: An Asymptotic Approach
by: Ko, Young Myoung, et al.
Published: (2023)

Convergence of infinitesimal generators and stability of convex monotone semigroups
by: Blessing, Jonas, et al.
Published: (2023)

A notion of BSDE on the Wasserstein space and its applications to control problems and PDEs
by: Djete, Mao Fabrice
Published: (2025)

Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients
by: Bruno, Stefano, et al.
Published: (2025)

A preconditioned second-order convex splitting algorithm with extrapolation
by: Shen, Xinhua, et al.
Published: (2025)

Error estimates for finite-dimensional approximations of Hamilton-Jacobi-Bellman equations on the Wasserstein space
by: Daudin, Samuel, et al.
Published: (2025)

On the irreducibility and convergence of a class of nonsmooth nonlinear state-space models on manifolds and their applications to zeroth-order optimization
by: Gissler, Armand, et al.
Published: (2024)