/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

mishadoff.com
| | dm13450.github.io
4.0 parsecs away

Travel
| | Julia is a new language on the block aimed at being a suitable mid point between the adaptability of Python and the speed of Matlab. Its a nice fall-back when my R code is just that bit too slow to really churn through some numbers.
| | mary.codes
4.9 parsecs away

Travel
| | The personal website of Mary Knize. Web development, art, and tinkering with fun projects.
| | cepheus.neocities.org
5.2 parsecs away

Travel
| |
| | francisbach.com
33.3 parsecs away

Travel
| [AI summary] This text discusses the scaling laws of optimization in machine learning, focusing on asymptotic expansions for both strongly convex and non-strongly convex cases. It covers the derivation of performance bounds using techniques like Laplace's method and the behavior of random minimizers. The text also explains the 'weird' behavior observed in certain plots, where non-strongly convex bounds become tight under specific conditions. The analysis connects theoretical results to practical considerations in optimization algorithms.