Abstracts

Data Science Finale

Thursday, December 13th, 2018

Analysis of a Two-Layer Neural Network via Displacement Convexity

9:30 am–9:50 am

Speaker: Marco Mondelli (Stanford University)

The Degree-d Chow Parameters Problem

9:55 am–10:15 am

Speaker: Ilias Diakonikolas (University of Southern California)

Machine Learning: Dynamics, Economics, and Statistics

10:45 am–12:00 pm

Speaker: Michael Jordan (UC Berkeley)

Lower Bounds for Randomized and Parallel Convex Optimization

1:30 pm–1:55 pm

Speaker: Jelena Diakonikolas (UC Berkeley)

Towards Robust Second-order Training of Neural Networks

2:00 pm–2:20 pm

Speaker: Amir Gholaminejad (UC Berkeley)

Spectral Sparsification of Simplicial Complexes for Clustering and Label Propagation

2:25 pm–2:45 pm

Speaker: Bei Wang (University of Utah)