Ridge-Regression

Disclosure: this post was written with the assistance of an AI system (Claude), which wrote the analysis code, ran the experiments and drafted the text. The topic, the constraints, the data choices and the final review are the author’s. Ridge is introduced as a penalty and works as an operation on the spectrum: in the basis where the design is diagonal it multiplies each direction by s²/(s² + α) and does nothing else, which is why it shrinks hardest exactly where the data saw least....

Disclosure: this post was written with the assistance of an AI system (Claude), which wrote the analysis code, ran the experiments and drafted the text. The topic, the constraints, the data choices and the final review are the author’s. Least squares on p random ReLU features of a 10-dimensional input, 100 training rows, minimum-norm fit. Median test error is 0.271 at p = 20, peaks at 21.6 at p = 100, and falls again to 0....