:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Greco, Giacomo, Tamanini, Luca
Formato:	Preprint
Publicado:	2025
Materias:	Probability Analysis of PDEs Optimization and Control Machine Learning 49Q22, 49L12, 39B62, 60J60, 68Q87, 68W40
Acceso en línea:	https://arxiv.org/abs/2504.11133
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm
por: Chiarini, Alberto, et al.
Publicado: (2024)

Weak semiconvexity estimates for Schrödinger potentials and logarithmic Sobolev inequality for Schrödinger bridges
por: Conforti, Giovanni
Publicado: (2022)

Visualizing Shape Functionals via Sinkhorn Multidimensional Scaling
por: Yachimura, Toshiaki, et al.
Publicado: (2024)

A particle system approach towards the global well-posedness of master equations for potential mean field games of control
por: Liao, Huafu, et al.
Publicado: (2024)

The ratio-cut polytope and K-means clustering
por: De Rosa, Antonio, et al.
Publicado: (2020)

Wasserstein Mirror Gradient Flow as the limit of the Sinkhorn Algorithm
por: Deb, Nabarun, et al.
Publicado: (2023)

Approximation rates of entropic maps in semidiscrete optimal transport
por: Sadhu, Ritwik, et al.
Publicado: (2024)

Analysis of multivariate symbol statistics in primitive rational models
por: Goldwurm, Massimiliano, et al.
Publicado: (2026)

Data-driven rules for multidimensional reflection problems
por: Christensen, Sören, et al.
Publicado: (2023)

Stochastic Mirror Descent for Convex Optimization with Consensus Constraints
por: Borovykh, Anastasia, et al.
Publicado: (2022)

Talagrand-type transport inequalities for path spaces over Carnot groups
por: Friz, Peter K., et al.
Publicado: (2026)

Ahlfors-regularity for minimizers of a multiphase optimal design problem
por: Esposito, Luca, et al.
Publicado: (2025)

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

Entropic continuity bounds for conditional covariances with applications to Schr\" odinger and Sinkhorn bridges
por: Del Moral, Pierre
Publicado: (2025)

Permutation recovery of spikes in noisy high-dimensional tensor estimation
por: Arous, Gérard Ben, et al.
Publicado: (2024)

Optimal transport maps, majorization, and log-subharmonic measures
por: De Philippis, Guido, et al.
Publicado: (2024)

On the power of linear programming for K-means clustering
por: De Rosa, Antonio, et al.
Publicado: (2024)

Sharp threshold for network recovery from voter model dynamics
por: Du, Hang, et al.
Publicado: (2025)

Generating DDPM-based Samples from Tilted Distributions
por: Mandal, Himadri, et al.
Publicado: (2026)

Optimal Transport for $ε$-Contaminated Credal Sets: To the Memory of Sayan Mukherjee
por: Caprio, Michele
Publicado: (2024)

Thermodynamic structure of the Sinkhorn flow
por: Srinivasan, Anand, et al.
Publicado: (2025)

Algorithms for Generating Small Random Samples
por: Cicirello, Vincent A.
Publicado: (2024)

Failure of ambient closed-set large-deviation upper bounds in entropic optimal transport
por: Gwozdz, Maja
Publicado: (2026)

Computing the probability of intersection
por: Barvinok, Alexander
Publicado: (2025)

The Brownian transport map
por: Mikulincer, Dan, et al.
Publicado: (2021)

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

Beyond separability: convergence rate of vanishing viscosity approximations to mean field games via FBSDE stability
por: Yu, Winston, et al.
Publicado: (2025)

On Approximating the Potts Model with Contracting Glauber Dynamics
por: He, Roxanne, et al.
Publicado: (2024)

Optimal resource allocation for maintaining system solvency
por: Guo, Gaoyue, et al.
Publicado: (2026)

An hybrid stochastic Newton algorithm for logistic regression
por: Bercu, Bernard, et al.
Publicado: (2025)

Convergence of the Deep Galerkin Method for Mean Field Control Problems
por: Hofgard, William, et al.
Publicado: (2024)

Feature Learning in Wide Neural Networks under $μ$P: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit
por: Xodarev, Akmal
Publicado: (2026)

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

Stochastic gradient descent in high dimensions for multi-spiked tensor PCA
por: Arous, Gérard Ben, et al.
Publicado: (2024)

Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA
por: Arous, Gérard Ben, et al.
Publicado: (2024)

Mirror Descent for Stochastic Control Problems with Measure-valued Controls
por: Kerimkulov, Bekzhan, et al.
Publicado: (2024)

Entropic-Wasserstein barycenters: PDE characterization, regularity and CLT
por: Carlier, Guillaume, et al.
Publicado: (2020)

Optimal Hardness of Online Algorithms for Large Independent Sets
por: Gamarnik, David, et al.
Publicado: (2025)

Continuous-time Online Learning via Mean-Field Neural Networks: Regret Analysis in Diffusion Environments
por: Bayraktar, Erhan, et al.
Publicado: (2026)

Adversarial flows: A gradient flow characterization of adversarial attacks
por: Weigand, Lukas, et al.
Publicado: (2024)