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SIAM J. Math. Data Sci.
2019
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2024
2019
2024
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Publications
volume 6, number 1, 2024
Francis Bach
High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections.
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)
Hwanwoo Kim
,
Daniel Sanz-Alonso
,
Ruiyi Yang
Optimization on Manifolds via Graph Gaussian Processes.
SIAM J. Math. Data Sci.
6 (1) (2024)
volume 5, number 1, 2023
Farzan Farnia
,
William W. Wang
,
Subhro Das
,
Ali Jadbabaie
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models.
SIAM J. Math. Data Sci.
5 (1) (2023)
David Hong
,
Fan Yang
,
Jeffrey A. Fessler
,
Laura Balzano
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data.
SIAM J. Math. Data Sci.
5 (1) (2023)
Francesco Tudisco
,
Desmond J. Higham
Core-Periphery Detection in Hypergraphs.
SIAM J. Math. Data Sci.
5 (1) (2023)
Clément Elvira
,
Cédric Herzet
Safe Rules for the Identification of Zeros in the Solutions of the SLOPE Problem.
SIAM J. Math. Data Sci.
5 (1) (2023)
Mikhael Carmona
,
Victor Chepoi
,
Guyslain Naves
,
Pascal Préa
A Simple and Optimal Algorithm for Strict Circular Seriation.
SIAM J. Math. Data Sci.
5 (1) (2023)
Aurore Archimbaud
,
Zlatko Drmac
,
Klaus Nordhausen
,
Una Radojicic
,
Anne Ruiz-Gazen
Numerical Considerations and a new implementation for invariant coordinate selection.
SIAM J. Math. Data Sci.
5 (1) (2023)
Christian Bayer
,
Peter K. Friz
,
Nikolas Tapia
Stability of Deep Neural Networks via Discrete Rough Paths.
SIAM J. Math. Data Sci.
5 (1) (2023)
Adam Li
,
Ronan Perry
,
Chester Huynh
,
Tyler M. Tomita
,
Ronak Mehta
,
Jesús Arroyo
,
Jesse Patsolic
,
Benjamin Falk
,
Sridevi V. Sarma
,
Joshua T. Vogelstein
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks.
SIAM J. Math. Data Sci.
5 (1) (2023)
Léon Zheng
,
Elisa Riccietti
,
Rémi Gribonval
Efficient Identification of Butterfly Sparse Matrix Factorizations.
SIAM J. Math. Data Sci.
5 (1) (2023)
Tianjiao Li
,
Guanghui Lan
,
Ashwin Pananjady
Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation.
SIAM J. Math. Data Sci.
5 (1) (2023)
volume 5, number 2, 2023
Shayan Aziznejad
,
Joaquim Campos
,
Michael Unser
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation.
SIAM J. Math. Data Sci.
5 (2) (2023)
Filipa Valdeira
,
Ricardo Ferreira
,
Alessandra Micheletti
,
Cláudia Soares
Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data.
SIAM J. Math. Data Sci.
5 (2) (2023)
Keaton Hamm
,
Nick Henscheid
,
Shujie Kang
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning.
SIAM J. Math. Data Sci.
5 (2) (2023)
Gilles Mordant
,
Axel Munk
Statistical Analysis of Random Objects Via Metric Measure Laplacians.
SIAM J. Math. Data Sci.
5 (2) (2023)
Attila Lovas
,
Iosif Lytras
,
Miklós Rásonyi
,
Sotirios Sabanis
Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms.
SIAM J. Math. Data Sci.
5 (2) (2023)
Hong Ye Tan
,
Subhadip Mukherjee
,
Junqi Tang
,
Carola-Bibiane Schönlieb
Data-Driven Mirror Descent with Input-Convex Neural Networks.
SIAM J. Math. Data Sci.
5 (2) (2023)
Yatong Bai
,
Tanmay Gautam
,
Somayeh Sojoudi
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training.
SIAM J. Math. Data Sci.
5 (2) (2023)
Sebastian Neumayer
,
Alexis Goujon
,
Pakshal Bohra
,
Michael Unser
Approximation of Lipschitz Functions Using Deep Spline Neural Networks.
SIAM J. Math. Data Sci.
5 (2) (2023)
Guillaume Huguet
,
Alexander Tong
,
Bastian Rieck
,
Jessie Huang
,
Manik Kuchroo
,
Matthew J. Hirn
,
Guy Wolf
,
Smita Krishnaswamy
Time-Inhomogeneous Diffusion Geometry and Topology.
SIAM J. Math. Data Sci.
5 (2) (2023)
Philip S. Chodrow
,
Nicole Eikmeier
,
Jamie Haddock
Nonbacktracking Spectral Clustering of Nonuniform Hypergraphs.
SIAM J. Math. Data Sci.
5 (2) (2023)
Jinjie Zhang
,
Yixuan Zhou
,
Rayan Saab
Post-training Quantization for Neural Networks with Provable Guarantees.
SIAM J. Math. Data Sci.
5 (2) (2023)
Ery Arias-Castro
,
Wanli Qiao
Moving Up the Cluster Tree with the Gradient Flow.
SIAM J. Math. Data Sci.
5 (2) (2023)
Wenyu Chen
,
Mathias Drton
,
Ali Shojaie
Causal Structural Learning via Local Graphs.
SIAM J. Math. Data Sci.
5 (2) (2023)
volume 5, number 3, 2023
Bora Yongacoglu
,
Gürdal Arslan
,
Serdar Yüksel
Satisficing Paths and Independent Multiagent Reinforcement Learning in Stochastic Games.
SIAM J. Math. Data Sci.
5 (3) (2023)
Jie Jiang
,
Xiaojun Chen
Optimality Conditions for Nonsmooth Nonconvex-Nonconcave Min-Max Problems and Generative Adversarial Networks.
SIAM J. Math. Data Sci.
5 (3) (2023)
Kiryung Lee
,
Dominik Stöger
Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing.
SIAM J. Math. Data Sci.
5 (3) (2023)
Boris Landa
,
Xiuyuan Cheng
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling.
SIAM J. Math. Data Sci.
5 (3) (2023)
Andreas Habring
,
Martin Holler
A Note on the Regularity of Images Generated by Convolutional Neural Networks.
SIAM J. Math. Data Sci.
5 (3) (2023)
Henri Riihimäki
Simplicial \({\boldsymbol{q}}\) -Connectivity of Directed Graphs with Applications to Network Analysis.
SIAM J. Math. Data Sci.
5 (3) (2023)
Erhan Bayraktar
,
Ali Devran Kara
Approximate Q Learning for Controlled Diffusion Processes and Its Near Optimality.
SIAM J. Math. Data Sci.
5 (3) (2023)
Liwei Jiang
,
Yudong Chen
,
Lijun Ding
Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization.
SIAM J. Math. Data Sci.
5 (3) (2023)
Eustasio del Barrio
,
Alberto González-Sanz
,
Jean-Michel Loubes
,
Jonathan Niles-Weed
An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs.
SIAM J. Math. Data Sci.
5 (3) (2023)
volume 5, number 4, 2023
Yifan Zhang
,
Joe Kileel
Moment Estimation for Nonparametric Mixture Models through Implicit Tensor Decomposition.
SIAM J. Math. Data Sci.
5 (4) (2023)
Zaiwei Chen
,
John-Paul Clarke
,
Siva Theja Maguluri
Target Network and Truncation Overcome the Deadly Triad in \(\boldsymbol{Q}\)-Learning.
SIAM J. Math. Data Sci.
5 (4) (2023)
Nicolas Keriven
Entropic Optimal Transport on Random Graphs.
SIAM J. Math. Data Sci.
5 (4) (2023)
Brent Sprangers
,
Nick Vannieuwenhoven
Group-Invariant Tensor Train Networks for Supervised Learning.
SIAM J. Math. Data Sci.
5 (4) (2023)
Matteo Cacciola
,
Antonio Frangioni
,
Xinlin Li
,
Andrea Lodi
Deep Neural Networks Pruning via the Structured Perspective Regularization.
SIAM J. Math. Data Sci.
5 (4) (2023)
Nikhil Ghosh
,
Mikhail Belkin
A Universal Trade-off Between the Model Size, Test Loss, and Training Loss of Linear Predictors.
SIAM J. Math. Data Sci.
5 (4) (2023)
Kevin Miller
,
Jeff Calder
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning.
SIAM J. Math. Data Sci.
5 (4) (2023)
Eldad Haber
,
Moshe Eliasof
,
Luis Tenorio
Estimating a Potential Without the Agony of the Partition Function.
SIAM J. Math. Data Sci.
5 (4) (2023)
Ramchandran Muthukumar
,
Jeremias Sulam
Adversarial Robustness of Sparse Local Lipschitz Predictors.
SIAM J. Math. Data Sci.
5 (4) (2023)
Yihang Gao
,
Michael K. Ng
,
Mingjie Zhou
Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks.
SIAM J. Math. Data Sci.
5 (4) (2023)
Michael Perlmutter
,
Alexander Tong
,
Feng Gao
,
Guy Wolf
,
Matthew J. Hirn
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms.
SIAM J. Math. Data Sci.
5 (4) (2023)
Gero Friesecke
,
Maximilian Penka
The GenCol Algorithm for High-Dimensional Optimal Transport: General Formulation and Application to Barycenters and Wasserstein Splines.
SIAM J. Math. Data Sci.
5 (4) (2023)
Daniel Beaglehole
,
Mikhail Belkin
,
Parthe Pandit
On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions.
SIAM J. Math. Data Sci.
5 (4) (2023)
Aaron Berk
,
Simone Brugiapaglia
,
Tim Hoheisel
LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing.
SIAM J. Math. Data Sci.
5 (4) (2023)
volume 4, number 4, 2022
Emmanuel Chevallier
,
Didong Li
,
Yulong Lu
,
David B. Dunson
Exponential-Wrapped Distributions on Symmetric Spaces.
SIAM J. Math. Data Sci.
4 (4) (2022)