Connectionists: Next SIPTA virtual seminar: Alessio benavoli on "Learning from preferences and choice functions", 24th October (3pm Paris time)

[sdesterc]

Dear colleagues,

We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events.

The next seminar will take place on the 24th of October (Thursday).

The zoom link for this seminar is https://utc-fr.zoom.us/j/89110869537

For this new seminar, we are very happy to have Alessio Benavoli as our speaker. Alessio Benavoli is Associate Professor in Statistics at the School of Computer Science and Statistics, Trinity College Dublin, Ireland. Alessio is a widely recognised expert in imprecise probability theories, in which he has done foundational work, and has connected imprecise probabilities to a bunch of different fields such as Machine Learning, Artificial intelligence, Quantum Mechanics, Control, ... 

On the 224th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Learning from preferences and choice functions”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 24th of October, and join us for the occasion.

And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=2tGQi8tpVvY&list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51

See you at the seminar!

Sébastien, Enrique and Jasper

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Sebastien Destercke, Ph. D.
CNRS researcher in computer science.

Université de Technologie de Compiegne
U.M.R. C.N.R.S. 7253 Heudiasyc
Avenue de Landshut
F-60205 Compiegne Cedex
FRANCE
Tel: +33 (0)3 44 23 79 85
Fax: +33 (0)3 44 23 44 77
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