sergeyfeldman
Personalization with Contextual Bandits
Online Recommendations with Thompson Sampling
Re:Bandit Algorithms for Recommendation Systems
on Monday June 02, 2014 @03:13PM (#7835376)
Thanks for the comment. The third blog post in this series will discuss linear contextual bandits, for which I used Langford's VW.
It does a huge amount better.
Re:Bandit Algorithms for Recommendation Systems
on Monday June 02, 2014 @03:08PM (#7835319)
This is blog post 1 out of 3. The second is all about Thompson Sampling, and should be coming out on Friday =)
Bandit Algorithms for Recommendation Systems
Mark Zuckerberg's Unexpected Visit to NIPS, the Machine Learning Conference
Bayesian A/B Tests with Log-Normal Models (w/ Python code)
Re:Bayesian Analysis of Normal Distributions with Python
on Thursday August 01, 2013 @04:45PM (#6143397)
We don't actually use Gaussian models for any of our Bayesian tests =). For continuous data, we use log-normal models, and the next blog post will be about how to make all that work.
And for intervals: yup, we just use sampling. But it's super fast because all you need are independent samples. For more details, see this first post: