Working Conference on Applications of Random Matrix Theory to Data Analysis, January 9-13, 2017

The Center of Mathematical Sciences and Applications will be hosting a working Conference on Applications of Random Matrix Theory to Data Analysis, January 9-13, 2017.  The conference will be hosted in Room G10 of the CMSA Building located at 20 Garden Street, Cambridge, MA 02138.

Participants:

Gerard Ben Arous, Courant Institute of Mathematical Sciences

Alex Bloemendal, Broad Institute

Arup Chakraburty, MIT

Zhou Fan, Stanford University

Alpha Lee, Harvard University

Matthew R. McKay, Hong Kong University of Science and Technology (HKUST)

David R. Nelson, Harvard University

Nick Patterson, Broad Institute

Marc Potters, Capital Fund management

Yasser Roudi, IAS

Tom Trogdon, UC Irvine

Organizers:

Michael Brenner, Lucy Colwell, Govind Menon, Horng-Tzer Yau

Please click Program for a downloadable schedule with talk abstracts.

Please note that breakfast & lunch will be provided during the conference, but a map of Harvard Square with a list of local restaurants can be found by clicking Map & Restaurants should you need recommendations for dinner.

Schedule:

January 9 – Day 1
9:30am – 10:00am Breakfast & Opening remarks
10:00am – 11:00am Marc Potters, “Eigenvector overlaps and the estimation of large noisy matrices”
11:00am – 12:00pm Yasser Roudi
12:00pm – 2:00pm Lunch
2:00pm Afternoon Discussion
January 10 – Day 2
8:30am – 9:00am Breakfast
9:00am – 10:00am Arup Chakraburty, “The mathematical analyses and biophysical reasons underlying why the prevalence of HIV strains and their relative fitness are simply correlated, and pose the challenge of building a general theory that encompasses other viruses where this is not true.”
10:00am – 11:00am Tom Trogdon, “On the average behavior of numerical algorithms”
11:00am – 12:00pm David R. Nelson, “Non-Hermitian Localization in Neural Networks”
12:00pm – 2:00pm Lunch
2:00pm Afternoon Discussion
January 11 – Day 3
8:30am – 9:00am Breakfast
9:00am – 10:00am Nick Patterson
10:00am – 11:00am Lucy Colwell
11:00am – 12:00pm Alpha Lee
12:00pm – 2:00pm Lunch
2:00pm-4:00pm Afternoon Discussion
4:00pm Gerard Ben Arous (Public Talk), “Complexity of random functions of many variables: from geometry to statistical physics and deep learning algorithms
January 12 – Day 4
8:30am – 9:00am Breakfast
9:00am – 10:00am Govind Menon
10:00am – 11:00am Alex Bloemendal
11:00am – 12:00pm Zhou Fan, “Free probability, random matrices, and statistics”
12:00pm – 2:00pm Lunch
2:00pm Afternoon Discussion
January 13 – Day 5
8:30am – 9:00am Breakfast
9:00am – 12:00pm Free for Working
12:00pm – 2:00pm Lunch
2:00pm Free for Working

* This event is sponsored by CMSA Harvard University.

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