Bayesian Bandits - optimizing click throughs with statistics - Chris Stucchio
Great news! A murder victim has been found. No slow news day today! The story is already written, now a title needs to be selected. The clever reporter who wrote the story has come up with two potential titles -
Great news! A murder victim has been found. No slow news day today! The story is already written, now a title needs to be selected. The clever reporter who wrote the story has come up with two potential titles - "Murder victim found in adult entertainment venue" and "Headless Body found in Topless Bar". (The latter title is one I've shamelessly stolen from the NY Daily News.) Once upon a time, deciding which title to run was a matter for a news editor to decide. Those days are now over - the geeks now rule the earth. Title selection is now primarily an algorithmic problem, not an editorial one
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related reading
- The Bayes Banditfrancesco215.github.io
- The Multi-Armed Bandit Problem and Its Solutions | Lil'Loglilianweng.github.io
- How much do you believe your results? — LessWronglesswrong.com
- Bradley–Terry model - Wikipediaen.wikipedia.org
- An Overview of Contextual Bandits | Towards Data Sciencetowardsdatascience.com
- Bayesian Mindsetcold-takes.com
- Bayes-Optimal Strategiesemergentmind.com
- course_stat_rl.pdfmit.edu
- A Technical Explanation of Technical Explanation – Eliezer S. Yudkowskyyudkowsky.net
- Multi-armed bandit - Wikipediaen.wikipedia.org
- A gentle Introduction to Bayesian Inference | Towards Data Sciencetowardsdatascience.com
- Bayes' rule — LessWrongarbital.com