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. […]