Co-occurring keywords · papers mentioning both
Papers
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
NeurIPS 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent
ICML 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
JMLR 2017
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
NeurIPS 2017
A Box-Constrained Approach for Hard Permutation Problems
ICML 2016
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
AISTATS 2016
Asynchronous Parallel Greedy Coordinate Descent
NeurIPS 2016
Coordinate-wise Power Method
NeurIPS 2016
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
ICML 2016
GAP Safe Screening Rules for Sparse-Group Lasso
NeurIPS 2016
Joint quantile regression in vector-valued RKHSs
NeurIPS 2016
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption
JMLR 2016
Multiplicative Multitask Feature Learning
JMLR 2016
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
ICML 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
NeurIPS 2015
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
ICML 2015
Cross-Age Face Verification by Coordinating With Cross-Face Age Verification
CVPR 2015
GAP Safe screening rules for sparse multi-task and multi-class models
NeurIPS 2015
Mind the duality gap: safer rules for the Lasso
ICML 2015
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent
ICML 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
NeurIPS 2015
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
ICML 2015
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
NeurIPS 2015
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
ICML 2014
A Divide-and-Conquer Solver for Kernel Support Vector Machines
ICML 2014