Prob 2017 - Summer School on Probabilistic Numerics
Topics/Call fo Papers
The Dobbiaco Summer Schools are an internationally established series of summer schools on applied mathematics, jointly organised by the Universities of Trieste and Innsbruck. Since 2000, every year a team of lecturers is invited to teach a focused course on a topic of recent interest.
The 2017 edition of the school will be on Probabilistic Numerics
http://www.dmi.units.it/dobbiaco/
It will be taught by
Mark Girolami (Imperial College) and
Philipp Hennig (Max Planck Society)
It will take place
from June 18 to 23, 2017
at the Grand Hotel Dobbiaco in the extraordinarily scenic alpine village of Dobbiaco (Toblach) in the Puster Valley of South Tyrol, on Italy’s northern border with Austria.
The deadline for registration is on April 30, 2017. The number of participants is limited to 50.
Probabilistic Numerics is the study of numerical algorithms as instances of rationally acting Bayesian learning machines. The area originated in machine learning and computational statistics. Both lecturers are members of the machine learning community. The courses will be designed to be accessible and of interest in particular also to graduate students and researchers from machine learning who are interested in computational aspects of our field. We thus hope that a significant portion of the participants will hail from machine learning and computational statistics.
The school will include introductory lectures on probabilistic inference and Gaussian processes, then lay out a coherent probabilistic view on Integration, Linear Algebra, Optimization, and the solution of (ordinary and partial) differential equations as instance of inference on latent mathematical quantities.
If you should have any inquiries on the content, please direct them to me.
The 2017 edition of the school will be on Probabilistic Numerics
http://www.dmi.units.it/dobbiaco/
It will be taught by
Mark Girolami (Imperial College) and
Philipp Hennig (Max Planck Society)
It will take place
from June 18 to 23, 2017
at the Grand Hotel Dobbiaco in the extraordinarily scenic alpine village of Dobbiaco (Toblach) in the Puster Valley of South Tyrol, on Italy’s northern border with Austria.
The deadline for registration is on April 30, 2017. The number of participants is limited to 50.
Probabilistic Numerics is the study of numerical algorithms as instances of rationally acting Bayesian learning machines. The area originated in machine learning and computational statistics. Both lecturers are members of the machine learning community. The courses will be designed to be accessible and of interest in particular also to graduate students and researchers from machine learning who are interested in computational aspects of our field. We thus hope that a significant portion of the participants will hail from machine learning and computational statistics.
The school will include introductory lectures on probabilistic inference and Gaussian processes, then lay out a coherent probabilistic view on Integration, Linear Algebra, Optimization, and the solution of (ordinary and partial) differential equations as instance of inference on latent mathematical quantities.
If you should have any inquiries on the content, please direct them to me.
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Last modified: 2016-12-15 11:40:02