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You are here		francisbach.com The sum of a geometric series is all you need! - Machine Learning Research Blog
\|	\|	bdtechtalks.com A simple guide to gradient descent in machine learning - TechTalks	3.8 parsecs away Travel
\|	\|	Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.	3.8 parsecs away Travel
\|	\|	dustintran.com On asymptotic convergence of averaged SGD \| Dustin Tran	2.8 parsecs away Travel
\|	\|	Stochastic gradient descent (SGD) has seen wide application for learning problems on large scale data, whether this be for generalized linear models [6], SVM...	2.8 parsecs away Travel
\|	\|	fa.bianp.net On the Convergence of the Unadjusted Langevin Algorithm	3.5 parsecs away Travel
\|	\|	The Langevin algorithm is a simple and powerful method to sample from a probability distribution. It's a key ingredient of some machine learning methods such as diffusion models and differentially private learning. In this post, I'll derive a simple convergence analysis of this method in the special case when the ...	3.5 parsecs away Travel
\|	\|	www.marekrei.com 74 Summaries of Machine Learning and NLP Research - Marek Rei	17.9 parsecs away Travel
\|		My previous post on summarising 57 research papers turned out to be quite useful for people working in this field, so it is about time...	17.9 parsecs away Travel