Co-occurring keywords · papers mentioning both
Papers
The Complexity of Making the Gradient Small in Stochastic Convex Optimization
COLT 2019
Cutting plane methods can be extended into nonconvex optimization
COLT 2018
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks
ICLR 2018
Continuous DR-submodular Maximization: Structure and Algorithms
NeurIPS 2017
Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter
ICML 2017
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
NeurIPS 2016
Stochastic Variance Reduction for Nonconvex Optimization
ICML 2016
Variance Reduction for Faster Non-Convex Optimization
ICML 2016
On the Convergence of the Concave-Convex Procedure
NeurIPS 2009