SIAM J. Math. Data Sci.

Keyphrases

Publications

volume 6, number 1, 2024

Elisa Negrini, Levon Nurbekyan
Applications of No-Collision Transportation Maps in Manifold Learning. SIAM J. Math. Data Sci. 6 (1) (2024)
Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang
Optimization on Manifolds via Graph Gaussian Processes. SIAM J. Math. Data Sci. 6 (1) (2024)
Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo
Network Online Change Point Localization. SIAM J. Math. Data Sci. 6 (1) (2024)
Francis Bach
High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections. SIAM J. Math. Data Sci. 6 (1) (2024)
Michal Derezinski, Elizaveta Rebrova
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition. SIAM J. Math. Data Sci. 6 (1) (2024)
Haoyu Zhao, Konstantin Burlachenko, Zhize Li, Peter Richtárik
Faster Rates for Compressed Federated Learning with Client-Variance Reduction. SIAM J. Math. Data Sci. 6 (1) (2024)
Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
Asymptotics of the Sketched Pseudoinverse. SIAM J. Math. Data Sci. 6 (1) (2024)
Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh
Online MCMC Thinning with Kernelized Stein Discrepancy. SIAM J. Math. Data Sci. 6 (1) (2024)
Anatoli B. Juditsky, Arkadi Nemirovski
On Design of Polyhedral Estimates in Linear Inverse Problems. SIAM J. Math. Data Sci. 6 (1) (2024)

volume 6, number 2, 2024

volume 6, number 3, 2024

Matthias Beckmann, Nick Heilenkötter
Equivariant Neural Networks for Indirect Measurements. SIAM J. Math. Data Sci. 6 (3) (2024)

volume 5, number 2, 2023

volume 5, number 3, 2023

volume 5, number 4, 2023