- 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): 97-121 (2023) - Ery Arias-Castro, Wanli Qiao:
Moving Up the Cluster Tree with the Gradient Flow. SIAM J. Math. Data Sci. 5(2): 400-421 (2023) - Shayan Aziznejad, Joaquim Campos, Michael Unser:
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation. SIAM J. Math. Data Sci. 5(2): 422-445 (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): 446-474 (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): 639-669 (2023) - Christian Bayer, Peter K. Friz, Nikolas Tapia:
Stability of Deep Neural Networks via Discrete Rough Paths. SIAM J. Math. Data Sci. 5(1): 50-76 (2023) - Erhan Bayraktar, Ali Devran Kara:
Approximate Q Learning for Controlled Diffusion Processes and Its Near Optimality. SIAM J. Math. Data Sci. 5(3): 615-638 (2023) - Daniel Beaglehole, Mikhail Belkin, Parthe Pandit:
On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions. SIAM J. Math. Data Sci. 5(4): 854-872 (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): 1102-1129 (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): 1051-1077 (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): 201-221 (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): 1078-1101 (2023) - Wenyu Chen, Mathias Drton, Ali Shojaie:
Causal Structural Learning via Local Graphs. SIAM J. Math. Data Sci. 5(2): 280-305 (2023) - Philip S. Chodrow, Nicole Eikmeier, Jamie Haddock:
Nonbacktracking Spectral Clustering of Nonuniform Hypergraphs. SIAM J. Math. Data Sci. 5(2): 251-279 (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): 147-173 (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): 122-146 (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): 899-919 (2023) - Yihang Gao, Michael K. Ng, Mingjie Zhou:
Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks. SIAM J. Math. Data Sci. 5(4): 949-976 (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): 977-1004 (2023) - Eldad Haber, Moshe Eliasof, Luis Tenorio:
Estimating a Potential Without the Agony of the Partition Function. SIAM J. Math. Data Sci. 5(4): 1005-1027 (2023) - Andreas Habring, Martin Holler:
A Note on the Regularity of Images Generated by Convolutional Neural Networks. SIAM J. Math. Data Sci. 5(3): 670-692 (2023) - Keaton Hamm, Nick Henscheid, Shujie Kang:
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning. SIAM J. Math. Data Sci. 5(2): 475-501 (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): 222-250 (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): 346-372 (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): 693-722 (2023) - Liwei Jiang, Yudong Chen, Lijun Ding:
Algorithmic Regularization in Model-Free Overparametrized Asymmetric Matrix Factorization. SIAM J. Math. Data Sci. 5(3): 723-744 (2023) - Nicolas Keriven:
Entropic Optimal Transport on Random Graphs. SIAM J. Math. Data Sci. 5(4): 1028-1050 (2023) - Boris Landa, Xiuyuan Cheng:
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling. SIAM J. Math. Data Sci. 5(3): 589-614 (2023) - Kiryung Lee, Dominik Stöger:
Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing. SIAM J. Math. Data Sci. 5(3): 774-799 (2023) - Tianjiao Li, Guanghui Lan, Ashwin Pananjady:
Accelerated and Instance-Optimal Policy Evaluation with Linear Function Approximation. SIAM J. Math. Data Sci. 5(1): 174-200 (2023)