Cover Image

Well-Posed KL-Regularized Control via Wasserstein and Kalman-Wasserstein KL Divergences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stein, Viktor, Datar, Adwait, Ay, Nihat
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control Machine Learning 93E20 (Primary) 49N10, 49Q22, 53B12, 68T05 (Secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural solver for Wasserstein Geodesics and optimal transport dynamics
by: Liu, Hailiang, et al.
Published: (2026)

Bregman-Wasserstein divergence: geometry and applications
by: Kainth, Amanjit Singh, et al.
Published: (2023)

SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
by: Stein, Viktor, et al.
Published: (2026)

Convergence of machine learning methods for feedback control laws: averaged feedback learning scheme and data driven methods
by: Kunisch, Karl, et al.
Published: (2024)

Feedback Control and Local Convexification of Wasserstein Gradient Flows
by: Kalise, Dante, et al.
Published: (2026)

Multi-Headed Transformer Architectures as Time-dependent Wasserstein Gradient Flows
by: Massucco, Alex, et al.
Published: (2026)

A Wasserstein Geometric Framework for Hebbian Plasticity
by: Tan, Ulrich
Published: (2026)

Wasserstein Conditional Independence Testing
by: Warren, Andrew
Published: (2021)

Quantitative contraction rates for Sinkhorn's algorithm: beyond bounded costs and compact marginals
by: Conforti, Giovanni, et al.
Published: (2023)

Interpolating between Optimal Transport and KL regularized Optimal Transport using Rényi Divergences
by: Bresch, Jonas, et al.
Published: (2024)

Sparsity and uniform regularity for regularised optimal transport
by: Gvalani, Rishabh S., et al.
Published: (2026)

Implicit Regularization of Large Neural Networks via Mean-Field Formulation
by: Acciaio, Beatrice, et al.
Published: (2026)

Adapted Wasserstein distance between the laws of SDEs
by: Backhoff-Veraguas, Julio, et al.
Published: (2022)

Quantitative Convergence of Wasserstein Gradient Flows of Kernel Mean Discrepancies
by: Chizat, Lénaïc, et al.
Published: (2026)

Wasserstein Gradient Flows of MMD Functionals with Distance Kernel and Cauchy Problems on Quantile Functions
by: Duong, Richard, et al.
Published: (2024)

Quantitative convergence of a discretization of dynamic optimal transport using the dual formulation
by: Ishida, Sadashige, et al.
Published: (2023)

Convergence rates for regularized unbalanced optimal transport: the discrete case
by: Nenna, Luca, et al.
Published: (2025)

A description based on optimal transport for a class of stochastic McKean-Vlasov control problems
by: De Vecchi, Francesco C., et al.
Published: (2024)

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

Optimal Control of Hybrid Systems with Submersive Resets
by: Clark, William, et al.
Published: (2024)

A weak convergence approach to the large deviations of the dynamic Schrödinger problem
by: Nilsson, Viktor, et al.
Published: (2025)

Large deviations for scaled families of Schrödinger bridges with reflection
by: Nilsson, Viktor, et al.
Published: (2025)

Approximation of shape optimization problems with non-smooth PDE constraints
by: Betz, Livia
Published: (2024)

Linear quadratic optimal transport and interpolation inequalities
by: Rizzi, Luca, et al.
Published: (2026)

Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
by: Testa, Andrea, et al.
Published: (2025)

Supervised Gromov-Wasserstein Optimal Transport
by: Cang, Zixuan, et al.
Published: (2024)

Wasserstein distance between noncommutative dynamical systems
by: Duvenhage, Rocco
Published: (2021)

The prescribed mean curvature measure equation in non-parametric form
by: Leonardi, Gian Paolo, et al.
Published: (2023)

The Signed Wasserstein Barycenter Problem
by: Jacobs, Matt, et al.
Published: (2026)

Retraction based regression methods on Riemannian manifolds
by: Loayza-Romero, Estefanía, et al.
Published: (2026)

Quantitative Uniqueness of Kantorovich Potentials
by: Ford, William
Published: (2026)

Lifting functionals defined on maps to measure-valued maps via optimal transport
by: Lavenant, Hugo
Published: (2023)

Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals
by: Mielke, Alexander, et al.
Published: (2025)

p-Wasserstein distances on networks and 3D to 1D convergence
by: Burger, Martin, et al.
Published: (2026)

Trajectory Optimization and NMPC Tracking for a Fixed Wing UAV in Deep Stall with Perch Landing
by: Nguyen, Huu Thien, et al.
Published: (2022)

Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems
by: Wehbeh, J., et al.
Published: (2025)

Coarse extrinsic curvature of Riemannian submanifolds
by: Arnaudon, Marc, et al.
Published: (2024)

Hamilton--Jacobi equations for controlled gradient flows: cylindrical test functions
by: Conforti, Giovanni, et al.
Published: (2023)

Stable free boundary minimal hypersurfaces in locally wedge-shaped manifolds
by: Yan, Zetian
Published: (2024)

Incompressible Optimal Transport and Applications in Fluid Mixing
by: Emerick, Max, et al.
Published: (2025)