Imagen de Portada

Topological Residual Asymmetry for Bivariate Causal Direction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Bouchattaoui, Mouad El
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Metric Geometry
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Causality for Longitudinal Data
por: Bouchattaoui, Mouad EL
Publicado: (2025)

The Observable Wasserstein Distance
por: Santos, Edivaldo Lopes dos, et al.
Publicado: (2026)

Metrics for Parametric Families of Networks
por: Gómez, Mario, et al.
Publicado: (2025)

The Z-Gromov-Wasserstein Distance
por: Bauer, Martin, et al.
Publicado: (2024)

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
por: Liu, Xinran, et al.
Publicado: (2024)

Conic Formulations of Transport Metrics for Unbalanced Measure Networks and Hypernetworks
por: Oliver, Mary Chriselda Antony, et al.
Publicado: (2025)

Metric properties of partial and robust Gromov-Wasserstein distances
por: Chhoa, Jannatul, et al.
Publicado: (2024)

Expected Sliced Transport Plans
por: Liu, Xinran, et al.
Publicado: (2024)

Approximating Metric Magnitude of Point Sets
por: Andreeva, Rayna, et al.
Publicado: (2024)

Geometry and Stability of Supervised Learning Problems
por: Mémoli, Facundo, et al.
Publicado: (2024)

Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing
por: Bonet, Clément, et al.
Publicado: (2025)

Meta-Learning and representation learner: A short theoretical note
por: Bouchattaoui, Mouad El
Publicado: (2024)

Computing distances and means on manifolds with a metric-constrained Eikonal approach
por: Kelshaw, Daniel, et al.
Publicado: (2024)

Approximation Depth of Convex Polytopes
por: Bakaev, Egor, et al.
Publicado: (2025)

Testing the variety hypothesis
por: Lerario, A., et al.
Publicado: (2025)

Neural collapse in the orthoplex regime
por: Alcala, James, et al.
Publicado: (2026)

Fused Gromov-Wasserstein Distance with Feature Selection
por: Lee, Harlin, et al.
Publicado: (2026)

Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median
por: Kim, Jakwang, et al.
Publicado: (2025)

Lipschitz Bounds for Persistent Laplacian Eigenvalues under One-Simplex Insertions
por: Anh, Le Vu, et al.
Publicado: (2025)

Vector valued optimal transport: from dynamic to static formulations
por: Craig, Katy, et al.
Publicado: (2025)

Slicing Wasserstein Over Wasserstein Via Functional Optimal Transport
por: Piening, Moritz, et al.
Publicado: (2025)

TraCE: Trajectory Counterfactual Explanation Scores
por: Clark, Jeffrey N., et al.
Publicado: (2023)

Scalar Function Topology Divergence: Comparing Topology of 3D Objects
por: Trofimov, Ilya, et al.
Publicado: (2024)

The Topology of the set of line Transversals
por: Cheong, Otfried, et al.
Publicado: (2022)

Limits of Discrete Energy of Families of Increasing Sets
por: Nathan, Hari Sarang
Publicado: (2025)

Learning from one graph: transductive learning guarantees via the geometry of small random worlds
por: Detering, Nils, et al.
Publicado: (2025)

An Efficient Minimax Optimal Estimator For Multivariate Convex Regression
por: Kur, Gil, et al.
Publicado: (2022)

How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
por: Brandenburg, Marie-Charlotte, et al.
Publicado: (2025)

Fitting trees to $\ell_1$-hyperbolic distances
por: Yim, Joon-Hyeok, et al.
Publicado: (2024)

Linear-Size Neural Network Representation of Piecewise Affine Functions in $\mathbb{R}^2$
por: Zanotti, Leo
Publicado: (2025)

Convergence of Timed-Metric Spaces and Causality
por: Che, Mauricio, et al.
Publicado: (2026)

Directional curvature and medial axis
por: Białożyt, Adam, et al.
Publicado: (2026)

Space of Timelike Directions and Curvature Bounds
por: Barton, Joe, et al.
Publicado: (2026)

Optimal Regularization for a Data Source
por: Leong, Oscar, et al.
Publicado: (2022)

The Star Geometry of Critic-Based Regularizer Learning
por: Leong, Oscar, et al.
Publicado: (2024)

Optimal Regularization Under Uncertainty: Distributional Robustness and Convexity Constraints
por: Leong, Oscar, et al.
Publicado: (2025)

Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces
por: Pariente, Antonio, et al.
Publicado: (2025)

Oberwolfach Workshop Report: Analysis, Geometry and Topology of Positive Scalar Curvature Metrcs: Limits of sequences of manifolds with nonnegative scalar curvature and other hypotheses
por: Tian, Christina Sormani wth Wenchuan, et al.
Publicado: (2024)

Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
por: Bouchattaoui, Mouad El, et al.
Publicado: (2023)

Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of $2$-Uniform Convexity
por: Kur, Gil, et al.
Publicado: (2026)