[Sds-seminars] S&DS In-Person Seminar, Frederic Koehler, 2/01, 4pm-5pm, "Towards the Statistically Principled Design of ML Algorithms"
elizavette.torres at yale.edu
elizavette.torres at yale.edu
Wed Feb 1 07:22:57 EST 2023
<https://statistics.yale.edu/> <https://statistics.yale.edu/>
Department of Statistics and Data Science
Moving forward our in-person seminars will be held at Mason Lab, room 211, 9
Hillhouse Avenue with the option of virtual participation
(
<https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f
8b73c34-a27b-42a7-a073-af2d00f90ffa>
https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8
b73c34-a27b-42a7-a073-af2d00f90ffa)
<x-apple-data-detectors://10/> 3:30pm - Pre-talk meet and greet teatime -
Dana House, 24 Hillhouse Ave.
Frederic Koehler, Stanford University
Date: Wednesday, February 01, 2023
Time: 4:00PM to 5:00PM
Location: Mason Lab 211
<http://maps.google.com/?q=9+Hillhouse+Ave%2C+New+Haven%2C+CT%2C+06511%2C+us
> see map
9 Hillhouse Ave
New Haven, CT 06511
<https://frkoehle.github.io/> Website
Title: Towards the Statistically Principled Design of ML Algorithms
Information and Abstract:
What are the optimal algorithms for learning from data? Have we found them
already, or are better ones out there to be discovered? Making these
questions precise, and answering them, requires taking on the mathematically
deep interplay between statistical and computational considerations. It also
requires reconciling our theoretical toolbox with surprising new phenomena
arising from practice, which seem to violate conventional rules of thumb
regarding algorithm and model design. I will discuss progress along these
lines: in terms of designing new algorithms for basic learning problems,
controlling generalization in large statistical models, and understanding
statistical questions arising from generative modeling.
In-Person seminars will be held at Mason Lab 211, 9 Hillhouse Avenue with
the option of virtual participation (
<https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f
8b73c34-a27b-42a7-a073-af2d00f90ffa>
https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8
b73c34-a27b-42a7-a073-af2d00f90ffa)
For more details and upcoming events visit our website at
<http://statistics.yale.edu/> http://statistics.yale.edu/
Department of Statistics and Data Science
Yale University
24 Hillhouse Avenue
New Haven, CT 06511
t 203.432.0666
f 203.432.0633
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