[Statseminars] [Sds-secondary] [Sds-seminars] Fwd: MINDS Seminar, Thurs. May 21 @ 2:30 Eastern (US), Daniel Spielman (Yale)

Sun May 24 09:59:59 EDT 2020

Hi all,

I am giving a survey talk on recent progress in combinatorial random matrix theory this Tuesday, in case you are interested.

Best, Van.

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Dear colleague,

you will soon participate at the virtual RMTA conference which begins on Monday, May 25th.

The opening of the conference will be at 9:50 AM monday morning (New York local time; UTC-4), talks start at 10:00 AM every morning (except wednesday). The schedule is available on the website of the conference:

https://www.ceremade.dauphine.fr/dokuwiki/mega:e-rmta-2020<https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ceremade.dauphine.fr%2Fdokuwiki%2Fmega%3Ae-rmta-2020&data=02%7C01%7Cvan.vu%40yale.edu%7C36a83473d4a74fa6ad4008d7ffcebb76%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C637259135699984495&sdata=N7Hsc1pLFqbjfcP8Wq5VzdwF%2BeCOLPMCeZbkALsORlM%3D&reserved=0>

Please, find hereafter a few attendee guidelines and the ZOOM links for the conference sessions.

Aside the ZOOM room, we open a SLACK chat/coffee room for further discussions and where documents (slides and videos of the conference) will be available.

https://join.slack.com/t/rmtaworkspace/shared_invite/zt-dy1tc35h-4hseS~JtSQhUwBKW8YIJSQ<https://nam05.safelinks.protection.outlook.com/?url=https:%2F%2Fjoin.slack.com%2Ft%2Frmtaworkspace%2Fshared_invite%2Fzt-dy1tc35h-4hseS~JtSQhUwBKW8YIJSQ&data=02%7C01%7Cvan.vu%40yale.edu%7C36a83473d4a74fa6ad4008d7ffcebb76%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C637259135699984495&sdata=iq7UUnB9kuhwFM%2FcUGJHpbWYOsbK6JCCx9IPkvl38%2BA%3D&reserved=0>

We look forward to meeting you online,

Paul Bourgade,
Djalil Chafai,
Alice Guionnet,
Jamal Najim.
—

*** ATTENDEE GUIDELINES ***

  *   When entering the ZOOM room, your micro and camera will be turned off. Your camera is supposed to be kept off during the talks to reduce the bandwidth used
  *   Questions to the speaker:
     *   unmute your micro if you want to ask a question aloud during a presentation, then mute it back
     *   you can ask a question via the chat
     *   feel free to answer questions asked by others in the chat
  *   The host will unmute all the micros at the end of a talk to applaud the speaker

*** RMTA DAY 1 ZOOM LINKS ***

Subject : RMTA Conference - DAY 1
Time : May 25, 2020 09:30 AM New York Local Time (UTC-4)

Participate to the ZOOM meeting
https://us02web.zoom.us/j/84390912373?pwd=M2U5L1NWbUF4amYwZzZ2ZGYxc2s5QT09

Meeting ID : 843 9091 2373
Password : 319274

*** RMTA DAY 2 ZOOM LINKS ***

Subject : RMTA Conference - DAY 2
Time : May 26, 2020 09:30 AM New York Local Time (UTC-4)

Participate to the ZOOM meeting
https://us02web.zoom.us/j/89871655759?pwd=bmp5eit1V21haGNxNDU4OW1rdTZjdz09

Meeting ID : 898 7165 5759
Password : 374092

*** RMTA DAY 3 ZOOM LINKS ***

Subject : RMTA Conference - DAY 3
Time : May 28, 2020 09:30 AM New York Local Time (UTC-4)

Participate to the ZOOM meeting
https://us02web.zoom.us/j/86100289765?pwd=TWVjb0hyenl5OURBV1lmcm9zKzJ0dz09

Meeting ID : 861 0028 9765
Password : 707051

*** RMTA DAY 4 ZOOM LINKS ***

Subject : RMTA Conference - DAY 4
Time : May 29, 2020 09:30 AM New York Local Time (UTC-4)

Participae to the ZOOM meeting
https://us02web.zoom.us/j/85254965260?pwd=ZFRNMTdUVTcvM0o5VWtsS284RExpUT09

Meeting ID : 852 5496 5260
Password : 366744

Van Vu.

Percey F. Smith Professor of Mathematics, Yale University.

________________________________
From: Sds-secondary <sds-secondary-bounces at mailman.yale.edu> on behalf of Dan Spielman <daniel.spielman at yale.edu>
Sent: Tuesday, May 19, 2020 4:53 PM
To: sds-seminars at mailman.yale.edu <sds-seminars at mailman.yale.edu>; Statseminars at mailman.yale.edu <Statseminars at mailman.yale.edu>; yinsseminar at yale.edu <yinsseminar at yale.edu>
Subject: [Sds-secondary] [Sds-seminars] Fwd: MINDS Seminar, Thurs. May 21 @ 2:30 Eastern (US), Daniel Spielman (Yale)

Here's the announcement of a talk I'm giving on Thursday.

  --Dan

---------- Forwarded message ---------
From: Iwen, Mark <iwenmark at msu.edu<mailto:iwenmark at msu.edu>>
Date: Sun, May 17, 2020 at 7:53 AM
Subject: MINDS Seminar, Thurs. May 21 @ 2:30 Eastern (US), Daniel Spielman (Yale)
To: <ONEWORLDMINDS at list.msu.edu<mailto:ONEWORLDMINDS at list.msu.edu>>

Dear Colleagues,

We are delighted to announce that Daniel Spielman will give the next One World Mathematics of Information, Data, and Signals (MINDS) Seminar this Thursday, May 21st, at 2:30 pm EDT (11:30 am Pacific time).  Attendees can watch the seminar using the following zoom link at that time:

https://msu.zoom.us/j/99831487005

Prof. Spielman's title and abstract are below, and can also be found on the seminar website along with information about other upcoming talks and more at https://sites.google.com/view/minds-seminar/home<https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Fminds-seminar%2Fhome&data=02%7C01%7Cvan.vu%40yale.edu%7C7754865ee10248abff6208d7fc36d300%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C637255184729152723&sdata=RszBgpsfZAg0wNM1nLRe2smgQfF%2BorZ6y2BQnO1sZig%3D&reserved=0>

======================================================
Balancing covariates in randomized experiments using the Gram–Schmidt walk

In randomized experiments, such as a medical trials, we randomly assign the treatment, such as a drug or a placebo, that each experimental subject receives.  Randomization can help us accurately estimate the difference in treatment effects with high probability.  We also know that we want the two groups to be similar: ideally the two groups would be similar in every statistic we can measure beforehand. Recent advances in algorithmic discrepancy theory allow us to divide subjects into groups with similar statistics.

By exploiting the recent Gram-Schmidt Walk algorithm of Bansal, Dadush, Garg, and Lovett, we can obtain random assignments of low discrepancy.  These allow us to obtain more accurate estimates of treatment effects when the information we measure about the subjects is predictive, while also bounding the worst-case behavior when it is not.

We will explain the experimental design problem we address, the Gram-Schmidt walk algorithm, and the major ideas behind our analyses.  This is joint work with Chris Harshaw, Fredrik Sävje, and Peng Zhang.

Paper: https://arxiv.org/abs/1911.03071<https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Farxiv.org%2Fabs%2F1911.03071&data=02%7C01%7Cvan.vu%40yale.edu%7C7754865ee10248abff6208d7fc36d300%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C637255184729162672&sdata=Z6XmQm0xTs1gjRs8h4VfgUAPRQieU3BBti5HMVMmdFM%3D&reserved=0>
Code: https://github.com/crharshaw/GSWDesign.jl<https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fcrharshaw%2FGSWDesign.jl&data=02%7C01%7Cvan.vu%40yale.edu%7C7754865ee10248abff6208d7fc36d300%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C637255184729162672&sdata=FpTojzq6vzY2mYN86iisfg00J7lmm4SvodOw14m4MUg%3D&reserved=0>
======================================================

Please feel free forward this email to others who may be interested.  If this email has been forwarded to you and you'd like to receive your own announcements in the future, you can sign up for them here

https://forms.gle/wYNPom4ZKQF6QoDXA<https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.gle%2FwYNPom4ZKQF6QoDXA&data=02%7C01%7Cvan.vu%40yale.edu%7C7754865ee10248abff6208d7fc36d300%7Cdd8cbebb21394df8b4114e3e87abeb5c%7C0%7C0%7C637255184729172628&sdata=6UICSuTm4fF4iYhb1s1YxNXw4Zv0gr6tAQaH7wyxbgI%3D&reserved=0>

See you Thursday,

Mark Iwen, Michigan State University (MSU)
Afonso Bandeira, ETH Zurich
Matthew Hirn, Michigan State University (MSU)
Felix Krahmer, Technische Universität München (TUM)
Deanna Needell, University of California, Los Angeles (UCLA)
Rayan Saab, University of California, San Diego (UCSD)
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