TRIAD Video Presentations

 

TRIAD Distinguished Lecture Series

Yuxin Chen | Princeton University

 

 Lecture 1 (of 5): The power of nonconvex optimization in solving random quadratic systems of equations

August 28, 2019

Lecture 2 (of 5): Random initialization and implicit regularization in nonconvex statistical estimation

August 29, 2019

Lecture 3 (of 5): Projected Power Method: An Efficient Algorithm
for Joint Discrete Assignment

September 3, 2019

Lecture 4 (of 5): Spectral Methods Meets Asymmetry: Two Recent Stories

 September 4, 2019

Lecture 5 (of 5): Inference and Uncertainty Quantification for Noise Matrix Completion

 September 5, 2019

 

TRIAD Distinguished Lecture Series

Johannes Schmidt-Hieber | University of Twente

 

Lecture 1 (of 5): Mathematics for Deep Neural Networks: Introduction

March 6, 2019

Lecture 2 (of 5): Theory for Shallow Networks

March 8, 2019

Lecture 3 (of 5): Advantages of Additional Layers

March 13, 2019

Lecture 4 (of 5): Statistical Theory for Deep ReLU Networks

March 15, 2019

Lecture 5 (of 5): Energy Landscape and Open Problems

March 18, 2019

 

TRIAD Distinguished Lecture Series

Gabor Lugosi | Pompeu Fabra University

 

Lecture 1 (of 2): Combinatorial Testing Problems

October 15, 2018

Lecture 2 (of 2): Median of Means Tournaments

October 25, 2018

 

TRIAD Distinguished Lecture Series

Sara van de Geer | ETH Zurich

 

Lecture 1 (of 3): Sharp Oracle Inequalities for Non-Convex Loss

August 31, 2018

Lecture 2 (of 3): Compatibility and the Lasso

September 4, 2018

Lecture 3 (of 3): The Debiased
Lasso

September 6, 2018

 

Foundation of Data Science (FDS) Summer School 2019

 

 Visual Data Analytics: A Short Tutorial

Polo Chau | Georgia Institute of Technology | August 8, 2019