research
∙
09/25/2022
Algorithms that Approximate Data Removal: New Results and Limitations
We study the problem of deleting user data from machine learning models ...
share
research
∙
02/10/2018
On Symplectic Optimization
Accelerated gradient methods have had significant impact in machine lear...
research
∙
05/23/2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Adaptive optimization methods, which perform local optimization with a m...
research
∙
03/14/2016
A Variational Perspective on Accelerated Methods in Optimization
Accelerated gradient methods play a central role in optimization, achiev...
research
∙
07/25/2013