Past Program Activities

Frontiers of Efficient Neural-Network Learnability
Speaker: Adam Klivans
Jun. 19, 2019
Program: Foundations of Deep Learning
The singular values of convolutional layers
Speaker: Phil Long, Google  
Jun. 10, 2019
Program: Foundations of Deep Learning
A New Perspective on Adversarial Perturbations
Speaker: Aleksander Madry (Massachusetts Institute of Technology)
Jun. 3, 2019
Program: Foundations of Deep Learning
Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group)
May 14, 2019
Program: Data Privacy: Foundations and Applications
Real zeros and the alternatingly increasing property *starts at 10:30 a.m. sharp*
Speaker: Liam Solus (KTH Stockholm)
May 8, 2019
Program: Geometry of Polynomials
Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group)
Apr. 30, 2019
Program: Data Privacy: Foundations and Applications
Differential Privacy for Functional Summaries via the Exponential Mechanism with Applications to Functional PCA
Speaker: Matthew Reimherr (Penn State)
Apr. 24, 2019
Program: Data Privacy: Foundations and Applications
Determinantal representations of hyperbolic polynomials
Speaker: Daniel Plaumann (TU Dortmund)
Apr. 24, 2019
Program: Geometry of Polynomials
Problems in Matrix Variables: A Taste of Noncommutative (Convex) Algebraic Geometry *starts at 10:15 a.m. sharp*
Speaker: Bill Helton (UC San Diego) 
Apr. 24, 2019
Program: Geometry of Polynomials
Privacy and Statistical Inference for Social Science Data (Data Privacy Reading Group)
Apr. 23, 2019
Program: Data Privacy: Foundations and Applications

Pages