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SUMMARY:Random Matrices\, Random Graphs and Statistical Physics for Machin
e Learning and Inference | (smr 3703)
DTSTART;VALUE=DATE-TIME:20220516T060000Z
DTEND;VALUE=DATE-TIME:20220520T200000Z
DTSTAMP;VALUE=DATE-TIME:20220519T123859Z
UID:indico-event-9797@ictp.it
DESCRIPTION:\n An ICTP Hybrid Meeting. You can submit your application for
participation in presence or online.\n This school on random matrices and
graphs\, machine learning and statistical physics will emphasize the stro
ng connections between these fields\, strenghten the analytical toolbox of
the students and provide a modern vision of the challenges in high-dimens
ional statistics.\n\n \n\n Inference and learning systems have been stud
ied for decades. But the richness of contemporary high-dimensional statist
ical models (deep neural networks\, community detection and inference on g
raphs\, tensor factorization etc) require novel ideas and analytical metho
ds. In particular\, blending methods from random matrix theory\, statistic
al physics and information theory is particularly promising. The school ai
ms at providing an overview of recent progresses in this interdisciplinary
field by worldwide experts coming from different backgrounds\, but who al
l share a common goal of better modelling complex systems processing large
datasets\, and understanding their fundamental and algorithmic limitation
s. \n\n \n\n \n\n Topics:\n\n High-dimensional statistics\n \n Rand
om matrix theory\n \n Statistical physics\n \n Information theory\n \n
Theoretical machine learning\n \n Graph theory\n\n Lecturers:\n C. MALE\,
Bordeaux University\, France\n\n L. MASSOULIÉ\, INRIA Paris\, France\n\n
M. LELARGE\, INRIA Paris & Ecole Polytechnique\, France\n\n M. POTTERS\,
Capital Fund Management\, France\n\n P. VIVO\, King's College London\, UKG
rants: A limited number of grants are available to support the attendance
of selected participants. There is no registration fee.In person participa
tion: As regards the COVID-19 policy\, we advise to follow the updated rul
es available on the ICTP page Access Guidelines for Visitors.\n \n\n \
n\n//indico.ictp.it/event/9797/
LOCATION:ICTP Giambiagi Lecture Hall (AGH)
URL://indico.ictp.it/event/9797/
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