Saved in:
| Main Authors: | Schoeller, Henry, Chemnitz, Robin, Koltai, Péter, Engel, Maximilian, Pfahl, Stephan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.27991 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups
by: Chemnitz, Robin, et al.
Published: (2024)
by: Chemnitz, Robin, et al.
Published: (2024)
Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities
by: Paulin, Daniel, et al.
Published: (2026)
by: Paulin, Daniel, et al.
Published: (2026)
Convergence of kinetic Langevin samplers for non-convex potentials
by: Schuh, Katharina, et al.
Published: (2024)
by: Schuh, Katharina, et al.
Published: (2024)
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
by: Leimkuhler, Benedict, et al.
Published: (2023)
by: Leimkuhler, Benedict, et al.
Published: (2023)
Convergence and non-asymptotic error analysis for kinetic Langevin samplers using the exact harmonic Langevin integrator
by: Schuh, Katharina
Published: (2026)
by: Schuh, Katharina
Published: (2026)
Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm
by: Iguchi, Yuga, et al.
Published: (2024)
by: Iguchi, Yuga, et al.
Published: (2024)
Stochastic $p$th root approximation of a stochastic matrix: A Riemannian optimization approach
by: Durastante, Fabio, et al.
Published: (2023)
by: Durastante, Fabio, et al.
Published: (2023)
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
by: Chada, Neil K., et al.
Published: (2023)
by: Chada, Neil K., et al.
Published: (2023)
An efficient implementation algorithm for quasi-Monte Carlo approximations of high-dimensional integrals
by: Zhong, Huicong, et al.
Published: (2024)
by: Zhong, Huicong, et al.
Published: (2024)
Deep Learning without Global Optimization by Random Fourier Neural Networks
by: Davis, Owen, et al.
Published: (2024)
by: Davis, Owen, et al.
Published: (2024)
Convergence for adaptive resampling of random Fourier features
by: Huang, Xin, et al.
Published: (2025)
by: Huang, Xin, et al.
Published: (2025)
Multi-Order Monte Carlo IMEX hierarchies for uncertainty quantification in multiscale hyperbolic systems
by: Bertaglia, Giulia, et al.
Published: (2025)
by: Bertaglia, Giulia, et al.
Published: (2025)
Error Bounds for Importance Sampling with Estimated Proposal Distributions
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
Unbiased Gradients for a Class of Conditional Stochastic Optimization Problems
by: Alvarez, Miguel, et al.
Published: (2026)
by: Alvarez, Miguel, et al.
Published: (2026)
Convergence Analysis of Two Alternating Iterative Schemes for Tucker Decomposition
by: Li, Ren-Cang, et al.
Published: (2026)
by: Li, Ren-Cang, et al.
Published: (2026)
Detecting when one probe vector is enough for preconditioned log-determinant approximation
by: Cortinovis, Alice, et al.
Published: (2026)
by: Cortinovis, Alice, et al.
Published: (2026)
An Inertial Langevin Algorithm
by: Falk, Alexander, et al.
Published: (2025)
by: Falk, Alexander, et al.
Published: (2025)
Ensemble-Based Annealed Importance Sampling
by: Chen, Haoxuan, et al.
Published: (2024)
by: Chen, Haoxuan, et al.
Published: (2024)
A probabilistic approach to spectral analysis of Cauchy-type inverse problems: Convergence and stability analysis
by: Cîmpean, Iulian, et al.
Published: (2025)
by: Cîmpean, Iulian, et al.
Published: (2025)
Noise-balanced multilevel on-the-fly sparse grid surrogates for coupling Monte Carlo models into continuum models with application to heterogeneous catalysis
by: Hülser, Tobias, et al.
Published: (2026)
by: Hülser, Tobias, et al.
Published: (2026)
Multivariate Vector Subdivision Schemes with a General Matrix-valued Filter
by: Lu, Ran
Published: (2025)
by: Lu, Ran
Published: (2025)
Quasi-stationary Subdivision Schemes in Arbitrary Dimensions
by: Lu, Ran, et al.
Published: (2024)
by: Lu, Ran, et al.
Published: (2024)
Strong convergence of path sensitivities
by: Giles, Michael B.
Published: (2024)
by: Giles, Michael B.
Published: (2024)
Weak Convergence Of Tamed Exponential Integrators for Stochastic Differential Equations
by: Erdogan, Utku, et al.
Published: (2023)
by: Erdogan, Utku, et al.
Published: (2023)
Numerical spectral analysis of Cauchy-type inverse problems: A probabilistic approach
by: Cîmpean, Iulian, et al.
Published: (2024)
by: Cîmpean, Iulian, et al.
Published: (2024)
An NEPv Approach for Feature Selection via Orthogonal OCCA with the (2,1)-norm Regularization
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
Gradient-based Monte Carlo methods for relaxation approximations of hyperbolic conservation laws
by: Bertaglia, Giulia, et al.
Published: (2023)
by: Bertaglia, Giulia, et al.
Published: (2023)
Forward-KL Convergence of Time-Inhomogeneous Langevin Diffusions
by: Habring, Andreas, et al.
Published: (2026)
by: Habring, Andreas, et al.
Published: (2026)
Convergence and stability of randomized implicit two-stage Runge-Kutta schemes
by: Bochacik, Tomasz, et al.
Published: (2024)
by: Bochacik, Tomasz, et al.
Published: (2024)
Adaptive stepsize algorithms for Langevin dynamics
by: Leroy, Alix, et al.
Published: (2024)
by: Leroy, Alix, et al.
Published: (2024)
Adjoint DSMC Method for Spatially Inhomogeneous Boltzmann Equation with General Boundary Conditions
by: Caflisch, Russel, et al.
Published: (2026)
by: Caflisch, Russel, et al.
Published: (2026)
Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024)
by: Vanmechelen, Pieter, et al.
Published: (2024)
Laplace-based strategies for Bayesian optimal experimental design with nuisance uncertainty
by: Bartuska, Arved, et al.
Published: (2023)
by: Bartuska, Arved, et al.
Published: (2023)
Consistency of Learned Sparse Grid Quadrature Rules using NeuralODEs
by: Gottschalk, Hanno, et al.
Published: (2025)
by: Gottschalk, Hanno, et al.
Published: (2025)
Weak approximation of stochastic differential equations and application to derivative pricing
by: Ninomiya, Syoiti, et al.
Published: (2006)
by: Ninomiya, Syoiti, et al.
Published: (2006)
Uniformly Generating Distribution Functions for Discrete Random Variables
by: Caprile, Bruno
Published: (2000)
by: Caprile, Bruno
Published: (2000)
Stochastic Filtering of Reaction Networks Partially Observed in Time Snapshots
by: Rathinam, Muruhan, et al.
Published: (2023)
by: Rathinam, Muruhan, et al.
Published: (2023)
Inference of interacting kernel in the mean-field regime
by: Chen, Peiyi, et al.
Published: (2026)
by: Chen, Peiyi, et al.
Published: (2026)
Scalar Levin-Type Sequence Transformations
by: Homeier, Herbert H. H.
Published: (2000)
by: Homeier, Herbert H. H.
Published: (2000)
An Antithetic Multilevel Monte Carlo-Milstein Scheme for Stochastic Partial Differential Equations with non-commutative noise
by: Haji-Ali, Abdul-Lateef, et al.
Published: (2023)
by: Haji-Ali, Abdul-Lateef, et al.
Published: (2023)
Similar Items
-
Extracting coherent sets in aperiodically driven flows from generators of Mather semigroups
by: Chemnitz, Robin, et al.
Published: (2024) -
Theoretical guarantees for stochastic gradient sampling methods via Gaussian convolution inequalities
by: Paulin, Daniel, et al.
Published: (2026) -
Convergence of kinetic Langevin samplers for non-convex potentials
by: Schuh, Katharina, et al.
Published: (2024) -
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
by: Leimkuhler, Benedict, et al.
Published: (2023) -
Convergence and non-asymptotic error analysis for kinetic Langevin samplers using the exact harmonic Langevin integrator
by: Schuh, Katharina
Published: (2026)