Главная
Study mode:
on
1
Introduction
2
Imagenet Competition
3
Multiple Comparisons
4
Garden of Forking Paths
5
Implicit Multiple Comparisons
6
Preregistration
7
Formalization
8
Statistical Queries
9
Easy Theorem
10
Easy Theorem Strengths
11
Compressible Estimators
12
Guessing
13
Error
14
Summary
15
Differential Privacy
Description:
Explore the latest advancements in differential privacy with Aaron Roth from the University of Pennsylvania in this comprehensive tutorial. Delve into topics such as the Imagenet Competition, multiple comparisons, the Garden of Forking Paths, and implicit multiple comparisons. Learn about preregistration, formalization, and statistical queries. Examine the Easy Theorem and its strengths, along with compressible estimators and guessing error. Gain valuable insights into adaptive data analysis and its implications for privacy protection in this hour-long presentation from the Adaptive Data Analysis Workshop at the Simons Institute.

Recent Development in Differential Privacy I

Simons Institute
Add to list