Top Tweets for #randomfeatures
Random Features revisited: DL meets Kernel methods.
#randomfeatures #deeplearning #kernelmethods
https://t.co/xefDgH4S8a
At this rate, Twitter will turn into echo chambers of individuals (not that it already is not).
#RandomFeatures
Nice historical discussion around the #doubledescent curve. Thanks Dmitry Kobak @hippopedoid. Next week, we'll publish a new blog post explaining how to reproduce the behavior of this curve in Python with LightOn's #OPU and #RandomFeatures.
Spent some time investigating history of "double descent". As a function of model complexity, I haven't seen it described before 2017. As a function of sample size, it can be traced to 1995; earlier research seems less relevant. Also: I think we need a better term. Thread. (1/n)

I like the new #stats potential @etsy but it's never consistent. Which sort of makes it worse than nothing. #bugs #randomfeatures #woe
#NuitBlanche Large-Scale Kernel Methods for Independence Testing https://t.co/dQiIuldlIN #ml #randomfeatures
#NuitBlanche Learning Infinite-Layer Networks: Beyond the Kernel Trick https://t.co/GDkQQYi3iN #ml #randomfeatures
#NuitBlanche Kernel Mean Embedding of Distributions: A Review and Beyonds https://t.co/RMEao2smYt #ml #randomfeatures
#NuitBlanche Fast nonlinear embeddings via structured matrices https://t.co/GUBWP1cTgR #ml #randomfeatures
#NuitBlanche Fast nonlinear embeddings via structured matrices https://t.co/maPiGkfqfp #ml #randomfeatures
#NuitBlanche Random Features Roundup https://t.co/763xAXNWtN #anomalydetection #mf #ml #randomfeatures
#NuitBlanche Random Features and random projections http://t.co/AVwvcjUNG0 #ml #randomprojections #randomfeatures
#NuitBlanche On the Equivalence between Quadrature Rules and Random Features http://t.co/F5clxp1QiB #randomfeatures
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