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SIAM Journal on Mathematics of Data Science, Volume 6
Volume 6, Number 1, March 2024
- Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang:
Optimization on Manifolds via Graph Gaussian Processes. 1-25 - Francis Bach:
High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections. 26-50 - Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh:
Online MCMC Thinning with Kernelized Stein Discrepancy. 51-75
Volume 6, Number 2, 2024
- Chiwei Yan, James Johndrow, Dawn Woodard, Yanwei Sun:
Efficiency of ETA Prediction. 227-253 - Tamir Bendory, Dan Edidin:
The Sample Complexity of Sparse Multireference Alignment and Single-Particle Cryo-Electron Microscopy. 254-282 - YoonHaeng Hur, Wenxuan Guo, Tengyuan Liang:
Reversible Gromov-Monge Sampler for Simulation-Based Inference. 283-310 - Adrien Vacher, Boris Muzellec, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi:
Optimal Estimation of Smooth Transport Maps with Kernel SoS. 311-342 - Hao Liu, Wenjing Liao:
Learning Functions Varying along a Central Subspace. 343-371
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