Summary: Paris Machine Learning #4, Fake and Real Bayesian Worlds

On Wednesday, we had the fourth installment of the Paris Machine Learning Meetup that took place at DojoEvents. The meetup featured some Bayesian talks.

Gabriel Synnaeve talked to us about how he used Bayesian formalism to develop bots for Starcraft in his PhD thesis Bayesian Programming and Learning for Multi-Player Video Games (the HTML version is here), he even showed us a demo of his bot in action. His talk is:

• Bayesian Programming and Learning for Multi-Player Video Games

The attendant videos can be found here. Other presentations slide related to this presentation included:

• A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft, Gabriel Synnaeve, Pierre Bessière, AIIDE (AAAI) 2011 (slides)
• A Bayesian Model for RTS Units Control applied to StarCraft, Gabriel Synnaeve, Pierre Bessière, CIG (IEEE) 2011 (slides)

The rest of his interesting papers and talks can be found here.

Then Andrew Gelman gave a talk (in French) entitled Modélisation hiérarchique, pooling partiel et l’interrogation de bases de données virtuelles

On top of being a well known researcher, Andrew also publishes a few blogs including Statistical Modeling, Causal Inference, and Social Science. His other presentations are here. The home page for his book Bayesian Data Analysis (75 best lines from his course). Andrew is also behind Stan ( see Stan: a program for Bayesian data analysis with complex models )

Of note:

• Of beauty, sex, and power: Statistical challenges in estimating small effect

Thank you to both Gabriel  and Andrew for presenting their work. 

The next meetup is tentatively scheduled for November 13th. More on that later. In the meantime, we also have a LinkedIn Paris Machine Learning Group you can join.

 

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