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Lecture 12, concept 14: Experimental high-throughput screening to test 500,000 molecules
High Dimensional Geometry and Concentration I
Module 6.3 High Dimensional Data | Introduction to Data Analysis in R
High-Dimensional Statistics I
Statistical-to-computational gaps in high dimensional hypothesis testing and other problems
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Last Updated: September 28, 2026
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... are not asymptotic bounds on deviations this and possibly consistency so how about consistency in the Jelena Bradic (UC San Diego) simons.berkeley.edu/talks/robustness- Santosh Vempala, Georgia Institute of Technology ... This is module 6.3 of the course "7316 Introduction to Data Analysis in R" Martin Wainwright, UC Berkeley Big Data Boot Camp simons.berkeley.edu/talks/martin-wainwright-2013-09-05a. Speaker: Afonso S. BANDEIRA (NYU) Workshop on Science of Data Science | (smr 3283) 2019_09_30-09_45-smr3283.mp4.