Co-occurring keywords · papers mentioning both
Papers
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
ICML 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
ICML 2014
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
NeurIPS 2014
Iteration Complexity of Feasible Descent Methods for Convex Optimization
JMLR 2014
Local Linear Convergence of Forward--Backward under Partial Smoothness
NeurIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
NeurIPS 2014
Linear Convergence with Condition Number Independent Access of Full Gradients
NeurIPS 2013
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
NeurIPS 2013
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets
NeurIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
NeurIPS 2012