SIAM Journal on Mathematics of Data Science

Papers
(The H4-Index of SIAM Journal on Mathematics of Data Science is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms36
A Simple and Optimal Algorithm for Strict Circular Seriation29
Spectral Barron Space for Deep Neural Network Approximation29
Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization26
On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions23
Randomized Nyström Approximation of Non-negative Self-Adjoint Operators22
A Note on the Regularity of Images Generated by Convolutional Neural Networks22
New Equivalences between Interpolation and SVMs: Kernels and Structured Features20
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning17
Resolving the Mixing Time of the Langevin Algorithm to Its Stationary Distribution for Log-Concave Sampling16
Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF16
Learning Functions Varying along a Central Subspace14
Quantitative Approximation Results for Complex-Valued Neural Networks13
Efficient Algorithms for Regularized Nonnegative Scale-Invariant Low-Rank Approximation Models13
Deep Block Proximal Linearized Minimization Algorithm for Nonconvex Inverse Problems13
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