Mean-field theory for certain large convex optimization problems
1. Simplified derivations for high-dimensional convex learning problems
associated with statistical learning
Authors: David G. Clark, and Haim Sompolinsky
arXiv.2412.01110, DOI: 10.48550/arXiv.2412.01110
2. Memorizing without overfitting: Bias, variance, and interpolation in
overparameterized models
Authors: Jason W. Rocks, and Pankaj Mehta
Phys. Rev. Research 4, 013201 (2022), DOI: 10.1103/PhysRevResearch.4.013201
Recommended with a commentary by
Anirvan M. Sengupta , Rutgers University and Flatiron Institute
|View Commentary (pdf)|
This commentary may be cited as:
DOI: 10.36471/JCCM_January_2025_03
https://doi.org/10.36471/JCCM_January_2025_03