[Sds-seminars] [Sds-announce] SPL 59: NEW LOCATION SDS SEMINAR TOMORROW

[Zadik, Ilias]

Dear all,

This is to highlight that our SDS seminar tomorrow will not take place at the usual room, but instead at SPL 59. (still at 4pm)

Some directions are below:

"It’s on the second floor of SPL.
SPL is the building you reach by going out the West side of KT (towards Prospect Street)
If you would walk out the back side of the elevators, you’d be going in the right direction.
There’s an enclosed walkway connecting the two buildings."

Best,
Ilias

________________________________
From: Sds-faculty <sds-faculty-bounces at mailman.yale.edu> on behalf of Torres, Elizavette <elizavette.torres at yale.edu>
Sent: Tuesday, April 1, 2025 12:42 PM
To: sds-announce at mailman.yale.edu <sds-announce at mailman.yale.edu>
Subject: [Sds-faculty] [Sds-announce] S&DS Seminar, Ramon van Handel, 4/7/25, 4pm-5pm, SPL 59, "Sharp matrix concentration inequalities




[Department of Statistics and Data Science]<https://statistics.yale.edu/>   Department of Statistics and Data Science<https://statistics.yale.edu/>



Ramon van Handel, Princeton University

[cid:image002.png at 01DBA2FA.ECFC6810]

Date: Monday, April 07, 2025

Time: 4:00PM to 5:00PM

Location: SPL 59 See map<http://maps.google.com/?q=217+Prospect+Street%2C+New+Haven%2C+CT%2C+06511%2C+us>

217 Prospect Street

New Haven, CT 06511

Website<https://web.math.princeton.edu/~rvan/>



Title: Sharp matrix concentration inequalities



Information and Abstract:

Much of random matrix theory is concerned with a relatively small collection of special random matrix models whose asymptotic behavior can be studied in stunning detail. But random matrices that arise naturally in other areas of pure and applied mathematics are often not of this form and may admit an essentially arbitrary structure. The main tools that have been used to study such models, known as matrix concentration inequalities, are extremely general but only provide crude information.



In the past few years, however, powerful new tools were discovered to obtain a sharp understanding, to leading order, of the spectral statistics of arbitrarily structured random matrices under surprisingly minimal assumptions. I will aim to describe how these methods work and explain how they enable the study of new applications, such as phase transition phenomena for nonhomogeneous random matrices, that are fundamentally outside the reach of traditional matrix concentration inequalities.



This talk is based on joint works with A. Bandeira, M. Boedihardjo, T. Brailovskaya, G. Cipolloni, and D. Schroeder.



3:15pm  - Pre-talk meet and greet teatime – Kline Tower, 219 Prospect Street, 13 floor, there will be light snacks and beverages in the kitchen area.



For more details and upcoming events visit our website at https://statistics.yale.edu/calendar.



Department of Statistics and Data Science

Yale University
Kline Tower

219 Prospect Street
New Haven, CT 06511

https://statistics.yale.edu/




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