Adaptive generative moment matching networks for improved learning of dependence structures
Fuente:
arXiv
Saved in:
| Main Authors: | Hofert, Marius, Yao, Gan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bernoulli amputation
by: Hofert, Marius, et al.
Published: (2024)
by: Hofert, Marius, et al.
Published: (2024)
W-transforms: Uniformity-preserving transformations and induced dependence structures
by: Hofert, Marius, et al.
Published: (2025)
by: Hofert, Marius, et al.
Published: (2025)
Nonparametric learning of stochastic differential equations from sparse and noisy data
by: Ganguly, Arnab, et al.
Published: (2025)
by: Ganguly, Arnab, et al.
Published: (2025)
Deep Operator BSDE: a Numerical Scheme to Approximate Solution Operators
by: Lozano, Pere Díaz, et al.
Published: (2024)
by: Lozano, Pere Díaz, et al.
Published: (2024)
Model error moment estimation via data assimilation
by: Browne, P. A.
Published: (2016)
by: Browne, P. A.
Published: (2016)
An Euler scheme for BSDEs via the Wiener chaos decomposition
by: Lozano, Pere Díaz, et al.
Published: (2025)
by: Lozano, Pere Díaz, et al.
Published: (2025)
Record-based transmuted unit omega distribution: different methods of estimation and applications
by: Pathak, Ashok Kumar, et al.
Published: (2024)
by: Pathak, Ashok Kumar, et al.
Published: (2024)
Convergence rate for random walk approximations of mean field BSDEs
by: Djehiche, Boualem, et al.
Published: (2024)
by: Djehiche, Boualem, et al.
Published: (2024)
A Tail-Respecting Explicit Numerical Scheme for Lévy-Driven SDEs With Superlinear Drifts
by: Aryasova, Olga, et al.
Published: (2025)
by: Aryasova, Olga, et al.
Published: (2025)
Spatial best linear unbiased prediction: A computational mathematics approach for high dimensional massive datasets
by: Castrillon-Candas, Julio E.
Published: (2017)
by: Castrillon-Candas, Julio E.
Published: (2017)
Interpolated Drift Implicit Euler MLMC Method for Barrier Option Pricing and application to CIR and CEV Models
by: Derouich, Mouna Ben, et al.
Published: (2022)
by: Derouich, Mouna Ben, et al.
Published: (2022)
Stable generative modeling using Schrödinger bridges
by: Gottwald, Georg A., et al.
Published: (2024)
by: Gottwald, Georg A., et al.
Published: (2024)
Non-asymptotic uniform in time error bounds for new and old numerical schemes for SPDEs
by: Huang, Can, et al.
Published: (2026)
by: Huang, Can, et al.
Published: (2026)
Convergence and stability of a micro-macro acceleration method:linear slow-fast stochastic differential equations with additive noise
by: Zieliński, Przemysław, et al.
Published: (2019)
by: Zieliński, Przemysław, et al.
Published: (2019)
Randomised Euler-Maruyama Method for SDEs with Hölder Continuous Drift Coefficient Driven by $α$-stable Lévy Process
by: Bao, Jianhai, et al.
Published: (2025)
by: Bao, Jianhai, et al.
Published: (2025)
The Stochastic TR-BDF2 Scheme of Order 2
by: Caraballo, Tomás, et al.
Published: (2026)
by: Caraballo, Tomás, et al.
Published: (2026)
Uniform in time convergence of numerical schemes for stochastic differential equations via Strong Exponential stability: Euler methods, Split-Step and Tamed Schemes
by: Angeli, Letizia, et al.
Published: (2023)
by: Angeli, Letizia, et al.
Published: (2023)
Convergence proofs and strong error bounds for forward-backward stochastic differential equations using neural network simulations
by: Sheridan-Methven, Oliver
Published: (2024)
by: Sheridan-Methven, Oliver
Published: (2024)
A note on connections between the Föllmer process and the denoising diffusion probabilistic model
by: Koike, Yuta
Published: (2026)
by: Koike, Yuta
Published: (2026)
Randomised Euler-Maruyama method for SDEs with Hölder continuous drift coefficient
by: Bao, Jianhai, et al.
Published: (2025)
by: Bao, Jianhai, et al.
Published: (2025)
Sparsity vs. Statistical Independence in Adaptive Signal Representations: A Case Study of the Spike Process
by: Benichou, Bertrand, et al.
Published: (2001)
by: Benichou, Bertrand, et al.
Published: (2001)
High order weak approximation of Stochastic Differential Equations for bounded and measurable test functions
by: Rey, Clément
Published: (2024)
by: Rey, Clément
Published: (2024)
Data-driven computation for periodic stochastic differential equations
by: Li, Yao, et al.
Published: (2025)
by: Li, Yao, et al.
Published: (2025)
On a class of constrained Bayesian filters and their numerical implementation in high-dimensional state-space Markov models
by: Erdogan, Utku, et al.
Published: (2025)
by: Erdogan, Utku, et al.
Published: (2025)
Controlled fields, rough stochastic calculus, and Itô-Wentzell-Alekseev-Gröbner identities
by: Dause, Jannis R., et al.
Published: (2026)
by: Dause, Jannis R., et al.
Published: (2026)
A Robbins--Monro Sequence That Can Exploit Prior Information For Faster Convergence
by: Liu, Siwei, et al.
Published: (2024)
by: Liu, Siwei, et al.
Published: (2024)
Central Limit Theorem for the $σ$-antithetic multilevel Monte Carlo method
by: Alaya, Mohamed Ben, et al.
Published: (2020)
by: Alaya, Mohamed Ben, et al.
Published: (2020)
Long-time behavior of exact and numerical solutions of stochastic evolution equations on the sphere
by: Cohen, David, et al.
Published: (2026)
by: Cohen, David, et al.
Published: (2026)
Localized Schrödinger Bridge Sampler
by: Gottwald, Georg A., et al.
Published: (2024)
by: Gottwald, Georg A., et al.
Published: (2024)
A high-order recombination algorithm for weak approximation of stochastic differential equations
by: Ninomiya, Syoiti, et al.
Published: (2025)
by: Ninomiya, Syoiti, et al.
Published: (2025)
Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures
by: Baldassari, Lorenzo, et al.
Published: (2026)
by: Baldassari, Lorenzo, et al.
Published: (2026)
Asynchronous Distributed ECME Algorithm for Matrix Variate Non-Gaussian Responses
by: Liu, Qingyang, et al.
Published: (2025)
by: Liu, Qingyang, et al.
Published: (2025)
Splitting methods for stochastic Hodgkin-Huxley type systems and a localized fundamental mean-square convergence theorem
by: Étoré, Pierre, et al.
Published: (2026)
by: Étoré, Pierre, et al.
Published: (2026)
New formulas for moments of the multivariate normal distribution extending Stein's lemma and Isserlis theorem
by: Mamis, Konstantinos
Published: (2022)
by: Mamis, Konstantinos
Published: (2022)
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective
by: Hundrieser, Shayan, et al.
Published: (2022)
by: Hundrieser, Shayan, et al.
Published: (2022)
Error analysis for learning fractional stochastic differential equations with applications in neural approximations
by: Dehshiri, Mahdi, et al.
Published: (2026)
by: Dehshiri, Mahdi, et al.
Published: (2026)
Nested Pseudo-GMM Estimation of Demand for Differentiated Products
by: Aguirregabiria, Victor, et al.
Published: (2026)
by: Aguirregabiria, Victor, et al.
Published: (2026)
Solving the Poisson equation using coupled Markov chains
by: Douc, Randal, et al.
Published: (2022)
by: Douc, Randal, et al.
Published: (2022)
Learning interacting particle systems from unlabeled data
by: Wei, Viska, et al.
Published: (2026)
by: Wei, Viska, et al.
Published: (2026)
A binary search scheme for determining all contaminated specimens
by: Papanicolaou, Vassilis G.
Published: (2020)
by: Papanicolaou, Vassilis G.
Published: (2020)
Similar Items
-
Bernoulli amputation
by: Hofert, Marius, et al.
Published: (2024) -
W-transforms: Uniformity-preserving transformations and induced dependence structures
by: Hofert, Marius, et al.
Published: (2025) -
Nonparametric learning of stochastic differential equations from sparse and noisy data
by: Ganguly, Arnab, et al.
Published: (2025) -
Deep Operator BSDE: a Numerical Scheme to Approximate Solution Operators
by: Lozano, Pere Díaz, et al.
Published: (2024) -
Model error moment estimation via data assimilation
by: Browne, P. A.
Published: (2016)