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Publication search results
found 257 matches
- 2024
- Sinan G. Aksoy, Ilya Amburg
, Stephen J. Young
:
Scalable Tensor Methods for Nonuniform Hypergraphs. SIAM J. Math. Data Sci. 6(2): 481-503 (2024) - Francis Bach:
High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections. SIAM J. Math. Data Sci. 6(1): 26-50 (2024) - Matthias Beckmann, Nick Heilenkötter:
Equivariant Neural Networks for Indirect Measurements. SIAM J. Math. Data Sci. 6(3): 579-601 (2024) - Tamir Bendory
, Dan Edidin
:
The Sample Complexity of Sparse Multireference Alignment and Single-Particle Cryo-Electron Microscopy. SIAM J. Math. Data Sci. 6(2): 254-282 (2024) - Yehuda Dar, Daniel LeJeune, Richard G. Baraniuk:
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression. SIAM J. Math. Data Sci. 6(2): 454-480 (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): 127-153 (2024) - Cédric Gerbelot, Emanuele Troiani, Francesca Mignacco, Florent Krzakala, Lenka Zdeborová:
Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods. SIAM J. Math. Data Sci. 6(2): 400-427 (2024) - YoonHaeng Hur
, Wenxuan Guo, Tengyuan Liang:
Reversible Gromov-Monge Sampler for Simulation-Based Inference. SIAM J. Math. Data Sci. 6(2): 283-310 (2024) - Anatoli B. Juditsky, Arkadi Nemirovski:
On Design of Polyhedral Estimates in Linear Inverse Problems. SIAM J. Math. Data Sci. 6(1): 76-96 (2024) - Seonho Kim
, Kiryung Lee:
Max-Affine Regression via First-Order Methods. SIAM J. Math. Data Sci. 6(2): 534-552 (2024) - Hwanwoo Kim
, Daniel Sanz-Alonso, Ruiyi Yang
:
Optimization on Manifolds via Graph Gaussian Processes. SIAM J. Math. Data Sci. 6(1): 1-25 (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): 51-75 (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): 199-225 (2024) - Hao Liu
, Wenjing Liao:
Learning Functions Varying along a Central Subspace. SIAM J. Math. Data Sci. 6(2): 343-371 (2024) - Stanislav Minsker
, Mohamed Ndaoud, Lang Wang:
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope. SIAM J. Math. Data Sci. 6(2): 428-453 (2024) - Stanislav Minsker
, Nate Strawn:
The Geometric Median and Applications to Robust Mean Estimation. SIAM J. Math. Data Sci. 6(2): 504-533 (2024) - Wenlong Mou, Nhat Ho, Martin J. Wainwright
, Peter L. Bartlett, Michael I. Jordan
:
A Diffusion Process Perspective on Posterior Contraction Rates for Parameters. SIAM J. Math. Data Sci. 6(2): 553-577 (2024) - Elisa Negrini, Levon Nurbekyan:
Applications of No-Collision Transportation Maps in Manifold Learning. SIAM J. Math. Data Sci. 6(1): 97-126 (2024) - Yu Tian
, Renaud Lambiotte
:
Structural Balance and Random Walks on Complex Networks with Complex Weights. SIAM J. Math. Data Sci. 6(2): 372-399 (2024) - Adrien Vacher, Boris Muzellec, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi:
Optimal Estimation of Smooth Transport Maps with Kernel SoS. SIAM J. Math. Data Sci. 6(2): 311-342 (2024) - Chiwei Yan
, James Johndrow, Dawn Woodard, Yanwei Sun:
Efficiency of ETA Prediction. SIAM J. Math. Data Sci. 6(2): 227-253 (2024) - Yi Yu, Oscar Hernan Madrid Padilla, Daren Wang, Alessandro Rinaldo:
Network Online Change Point Localization. SIAM J. Math. Data Sci. 6(1): 176-198 (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): 154-175 (2024) - 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)
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