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cs.uwaterloo.ca
| | gerihahn.com
8.5 parsecs away

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| | 20"x20"x1" Handsewn silk on silk with hemp and cotton floss and thread
| | www.sineofthetimes.org
5.5 parsecs away

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| | This post examines the role of social media in promoting the discovery of an aperiodic monotile.
| | www.boristhebrave.com
8.5 parsecs away

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| | I've been working on adding aperiodic grids to Sylves. Aperiodic tilings are made tilings are made of a fixed set of tiles, rotated and translated to fully cover the plane.But they are not pe...
| | francisbach.com
29.2 parsecs away

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| [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.