Image de couverture de livre

Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Saidi, Tristan Luca, Mena, Gonzalo, Wasserman, Larry, Gunsilius, Florian
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Probability Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Statistical Properties of Rectified Flow
par: Mena, Gonzalo, et autres
Publié: (2025)

Statistical limits of correlation detection in trees
par: Ganassali, Luca, et autres
Publié: (2022)

WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity
par: Xu, Shizhou, et autres
Publié: (2024)

Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
par: Balakrishnan, Sivaraman, et autres
Publié: (2025)

An Analysis of Elo Rating Systems via Markov Chains
par: Olesker-Taylor, Sam, et autres
Publié: (2024)

Liouville PDE-based sliced-Wasserstein flow
par: Cooper, Jayshawn, et autres
Publié: (2025)

Gaussian random field approximation via Stein's method with applications to wide random neural networks
par: Balasubramanian, Krishnakumar, et autres
Publié: (2023)

Optimal Transportation and Alignment Between Gaussian Measures
par: Dandapanthula, Sanjit, et autres
Publié: (2025)

Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
par: Jaquard, Hugo, et autres
Publié: (2026)

A new approach for imprecise probabilities
par: Basili, Marcello, et autres
Publié: (2024)

Parallelized Midpoint Randomization for Langevin Monte Carlo
par: Yu, Lu, et autres
Publié: (2024)

Central Limit Theorems for Smooth Optimal Transport Maps
par: Manole, Tudor, et autres
Publié: (2023)

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
par: Ponnoprat, Donlapark, et autres
Publié: (2026)

Statistical Limits in Random Tensors with Multiple Correlated Spikes
par: Qi, Yang, et autres
Publié: (2025)

Plugin Estimation of Smooth Optimal Transport Maps
par: Manole, Tudor, et autres
Publié: (2021)

Predicting path-dependent processes by deep learning
par: Zheng, Xudong, et autres
Publié: (2024)

Dynamic Structural Causal Models
par: Boeken, Philip, et autres
Publié: (2024)

Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
par: Caprio, Michele, et autres
Publié: (2026)

High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
par: Liang, Tengyuan, et autres
Publié: (2022)

$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
par: Passeggeri, Riccardo, et autres
Publié: (2026)

Probabilistic Conformal Prediction with Approximate Conditional Validity
par: Plassier, Vincent, et autres
Publié: (2024)

Time-Inhomogeneous Preconditioned Langevin Dynamics
par: Falk, Alexander, et autres
Publié: (2026)

Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
par: Agrawalla, Bhavya, et autres
Publié: (2023)

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs
par: Mou, Wenlong
Publié: (2025)

A Dynamical System View of Langevin-Based Non-Convex Sampling
par: Karimi, Mohammad Reza, et autres
Publié: (2022)

Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
par: Yu, Yifeng, et autres
Publié: (2026)

The optimal betting wealth growth rate
par: Ram, Ashwin, et autres
Publié: (2026)

Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model
par: Wortsman-Zurich, Arie, et autres
Publié: (2026)

Bayesian Inference with Shaped Deep Non-linear MLPs
par: Hanin, Boris, et autres
Publié: (2026)

Power one sequential tests exist for weakly compact $\mathscr P$ against $\mathscr P^c$
par: Ram, Ashwin, et autres
Publié: (2026)

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities
par: Stéphanovitch, Arthur
Publié: (2026)

Low-degree Lower bounds for clustering in moderate dimension
par: Carpentier, Alexandra, et autres
Publié: (2026)

Schrödinger bridge problem via empirical risk minimization
par: Belomestny, Denis, et autres
Publié: (2026)

Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance
par: Shen, Yinan, et autres
Publié: (2026)

A Complete Decomposition of Stochastic Differential Equations
par: Duffield, Samuel
Publié: (2026)

Asymptotically optimal sequential change detection for bounded means
par: Ram, Ashwin, et autres
Publié: (2026)

Sampling from Constrained Gibbs Measures: with Applications to High-Dimensional Bayesian Inference
par: Wang, Ruixiao, et autres
Publié: (2026)

Optimal sequential tests yield log-optimal e-processes
par: Ram, Ashwin, et autres
Publié: (2026)

Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data
par: Cranston, Collin, et autres
Publié: (2026)

Learning with Expected Signatures: Theory and Applications
par: Lucchese, Lorenzo, et autres
Publié: (2025)