SlowGuess/NeurIPS_2023_OCR huggingface dataset:
In this appendix, we describe the numerical methods used to produce Figures 1, 2. All simulations were performed using MATLAB 9.13 (R2022b; The MathWorks, Natick MA, USA; https://www.mathworks.com/products/matlab.html) on a desktop workstation (CPU: Intel Xeon W-2145, 64GB RAM). They were not computationally intensive, and required less than an hour of compute time in total. Code to reproduce the figures is archived as part of the online supplemental material. Numerical computation of the solution to the ridgeless regression problem—the minimum-norm interpolant—was performed using the lsqminnorm solver (https://www.mathworks.com/help/matlab/ref/lsqminnorm.html), which uses an algorithm based on the complete orthogonal decomposition of the design matrix.