Co-occurring keywords · papers mentioning both
Papers
Learning a Single Neuron with Gradient Methods
COLT 2020
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
NeurIPS 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction
NeurIPS 2019
Necessary and Sufficient Geometries for Gradient Methods
NeurIPS 2019
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
AISTATS 2019
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework
ICML 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
NeurIPS 2018
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
NeurIPS 2014
Scaled Gradients on Grassmann Manifolds for Matrix Completion
NeurIPS 2012
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
NeurIPS 2010
Generalized Power Method for Sparse Principal Component Analysis
JMLR 2010