29-Sep Nicholas Carlini Google Brain
Attacking the privacy of machine learning models
06-Oct Theodor Misiakiewicz Stanford
Computational aspects of learning sparse functions with neural networks
13-Oct Courtney Paquette McGill University
Stochastic Algorithms in the Large: Batch Size Saturation, Stepsize Criticality, Generalization Performance, and Exact Dynamics
20-Oct Ludwig Schmidt University of Washington
A data-centric view on reliable generalization
27-Oct Kevin Jamieson University of Washington
Towards Instance-Optimal Algorithms for Reinforcement Learning
03-Nov Damek Davis Cornell
Leveraging 'partial' smoothness for faster convergence in nonsmooth optimization
10-Nov Jason R. Marden UCSB
Recent Advances in Colonel Blotto Games and the Connection to Controls
17-Nov Raaz Dwivedi Harvard/MIT
Two Vignettes on Efficient Procedures for Personalized Decision Making
01-Dec Yuchen Wu Stanford
Fundamental limits of low-rank matrix estimation with diverging aspect ratios
08-Dec Lior Pachter Caltech
What kind of information is there in single-cell genomics data?