Machine Learning Coffee Seminar: Arto Klami, Academy Research Fellow, University of Helsinki

Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki.

Helsinki region machine learning researchers will start our week by an exciting machine learning talk and discussion over coffee before and after the talk. The talks will start 9:15, with coffee served from 9:00. The venue is Exactum D123, Kumpula Campus.

Probabilistic Programming: Bayesian Modeling Made Easy

Arto Klami
Academy Research Fellow, University of Helsinki

Abstract:

Probabilistic models are principled tools for understanding data, but difficulty of inference limits the complexity of models we can actually use. Often we need to develop specific inference algorithms for new models (which might take months), and need to restrict ourselves to tractable model families that might not match our beliefs about the data. Probabilistic programming promises to fix this, by separating the model description from the inference: With probabilistic programming languages we can specify complex models using a high-level programming language, letting a black-box inference engine take care of the tricky details. This talk covers the basic idea of probabilistic programming and discusses how well its promises hold now and in the future.

See the next talks at the seminar webpage.

Welcome!