The International Conference on Probabilistic Programming

Videos of PROBPROG 2018

4-6 октября 2018. Boston, USA
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This conference is the only conference dedicated to both probabilistic programming research and the practice of probabilistic programming. It welcomes submissions for research presentations, demonstrations, open-source systems, and participants in open discussions with industry. It includes four tracks for invited and contributed presentations:

  • Probabilistic Programming and Intelligence
  • Probabilistic Programming for Statistics and Data Analysis 
  • Probabilistic Programming Languages and Systems 
  • The Practice of Probabilistic Programming 



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Хедлайнеры

Zoubin Ghahramani

Professor в University of Cambridge / Uber

Daniel Lee

Founder в Generable
I'm an applied computational Bayesian statistician. Over the past 7 years, I've been building Stan, an open-source statistical modeling language used by over 50,000 people for everything including price elasticity of books, estimating survival curves for new drugs, climate reconstruction models, and estimating player ability in the MLB. Stan is making Bayesian inference a reality by reducing computation time for complex models to something reasonable. We founded Generable to apply Bayesian inference to business problems.

Yordan Zaykov

Principal Dev Lead в Microsoft Research
I obtained my BSc in Computer Science and MSc in Technology Entrepreneurship from Sofia University, and MPhil in Computer Science from Cambridge University. I’ve been with Microsoft Research since 2012, working in the field of machine learning. As a software engineer, I focused on applications based on the Infer.NET Bayesian inference framework. This included work on email classification, recommendation, player ranking / matchmaking, healthcare, and knowledge mining. Since 2017 I’ve been leading the probabilistic modelling development team.
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Zoubin Ghahramani
Professor в University of Cambridge / Uber
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Организационный комитет: The International Conference on Probabilistic Programming,