Advanced Statistical Theory
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Course Description
This course will introduce the sum-of-squares algorithmic paradigm, focusing on its applications in statistics. It will touch on a wide range of topics including clustering, robust mean estimation, robust regression, mean-field approximations of Ising models, tensor decompositions for learning latent variable models, and information-computation gaps.
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
Yes
Total Units Allowed for Degree Credit
999
Course Component
Lecture
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
Programs
STATS314A
is a
completion requirement
for:
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