Cover Image

Generalization error bound for denoising score matching under relaxed manifold assumption

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yakovlev, Konstantin, Puchkin, Nikita
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation
by: Yakovlev, Konstantin, et al.
Published: (2025)

Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks
by: Yakovlev, Konstantin, et al.
Published: (2025)

Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
by: Noskov, Fedor, et al.
Published: (2025)

Noise-contrastive Online Change Point Detection
by: Puchkin, Nikita, et al.
Published: (2022)

Approximation Capabilities of Feedforward Neural Networks with GELU Activations
by: Yakovlev, Konstantin, et al.
Published: (2025)

Tight Bounds for Schrödinger Potential Estimation in Unpaired Data Translation
by: Puchkin, Nikita, et al.
Published: (2025)

Schrödinger bridge problem via empirical risk minimization
by: Belomestny, Denis, et al.
Published: (2026)

Rates of convergence for density estimation with generative adversarial networks
by: Puchkin, Nikita, et al.
Published: (2021)

Sample complexity of Schrödinger potential estimation
by: Puchkin, Nikita, et al.
Published: (2025)

Low-rank matrix completion and denoising under Poisson noise
by: McRae, Andrew D., et al.
Published: (2019)

Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
by: Puchkin, Nikita, et al.
Published: (2023)

Stein's unbiased risk estimate and Hyvärinen's score matching
by: Ghosh, Sulagna, et al.
Published: (2025)

Optimal convex $M$-estimation via score matching
by: Feng, Oliver Y., et al.
Published: (2024)

Non-asymptotic error bounds for probability flow ODEs under weak log-concavity
by: Kremling, Gitte, et al.
Published: (2025)

KL Convergence Guarantees for Score diffusion models under minimal data assumptions
by: Conforti, Giovanni, et al.
Published: (2023)

Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectation
by: Puchkin, Nikita, et al.
Published: (2023)

Sharp bounds on aggregate expert error
by: Kontorovich, Aryeh, et al.
Published: (2024)

Statistical guarantees for denoising reflected diffusion models
by: Holk, Asbjørn, et al.
Published: (2024)

Dimension-free Structured Covariance Estimation
by: Puchkin, Nikita, et al.
Published: (2024)

Graph Matching via convex relaxation to the simplex
by: Valdivia, Ernesto Araya, et al.
Published: (2023)

Semidefinite programming relaxations and debiasing for MAXCUT-based clustering
by: Zhou, Shuheng
Published: (2024)

Proper scoring rules for estimation and forecast evaluation
by: Waghmare, Kartik, et al.
Published: (2025)

Data denoising with self consistency, variance maximization, and the Kantorovich dominance
by: Hiew, Joshua Zoen-Git, et al.
Published: (2025)

An analysis of the noise schedule for score-based generative models
by: Strasman, Stanislas, et al.
Published: (2024)

Optimal score estimation via empirical Bayes smoothing
by: Wibisono, Andre, et al.
Published: (2024)

Entrywise error bounds for low-rank approximations of kernel matrices
by: Modell, Alexander
Published: (2024)

Matching and mixing: Matchability of graphs under Markovian error
by: Li, Zhirui, et al.
Published: (2026)

Generalization error of min-norm interpolators in transfer learning
by: Song, Yanke, et al.
Published: (2024)

General bounds on the quality of Bayesian coresets
by: Campbell, Trevor
Published: (2024)

Network Learning with Semi-relaxed Gromov-Wasserstein
by: Dufour, Charles, et al.
Published: (2026)

Non-asymptotic bounds for forward processes in denoising diffusions: Ornstein-Uhlenbeck is hard to beat
by: Brešar, Miha, et al.
Published: (2024)

Online selective conformal inference: adaptive scores, convergence rate and optimality
by: Humbert, Pierre, et al.
Published: (2025)

Dimension-free Bounds for Covariance Estimation with Tensor-Train Structure
by: Patarusau, Artsiom, et al.
Published: (2025)

Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
by: Mai, The Tien
Published: (2025)

Refined Risk Bounds for Unbounded Losses via Transductive Priors
by: Qian, Jian, et al.
Published: (2024)

A fast score-based search algorithm for maximal ancestral graphs using entropy
by: Hu, Zhongyi, et al.
Published: (2024)

Dynamical local Fréchet curve regression in manifolds
by: Ruiz-Medina, M. D., et al.
Published: (2025)

Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
by: Araya, Ernesto, et al.
Published: (2022)

Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data
by: Chakraborty, Saptarshi, et al.
Published: (2026)

Sharp concentration of uniform generalization errors in binary linear classification
by: Nakakita, Shogo
Published: (2025)