revrand

Nov 1, 2015 · 1 min read
projects

revrand is a Python library for scalable Bayesian generalized linear models with random feature approximations and stochastic gradient variational inference. Built at NICTA with Daniel Steinberg, Lachlan McCalman, Alistair Reid, and Simon O’Callaghan.

Bayesian Statistics Probabilistic Models Variational Inference Open Source
Louis Tiao
Authors
Louis Tiao
Research Scientist
My name is Louis Tiao, and I graduated from one of Australia’s top engineering schools with really good grades. Now, I’m using my knowledge to help up-and-coming tech companies make it in this competitive world.