David Bosch
Showing 8 publications
Asymptotic Analysis of Machine Learning Models: Comparison Theorems and Universality
A Novel Convex Gaussian Min Max Theorem for Repeated Features
A Novel Gaussian Min-Max Theorem and its Applications
Precise Asymptotic Analysis of Deep Random Feature Models
Asymptotic Analysis of Machine Learning Models: Comparison Theorems and Universality
Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit
Decentralized Constrained Optimization: Double Averaging and Gradient Projection
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