Co-occurring keywords · papers mentioning both
Papers
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
ICML 2017
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
NeurIPS 2017
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
NeurIPS 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
JMLR 2017
Stochastic Variance Reduction Methods for Policy Evaluation
ICML 2017
A primal-dual method for conic constrained distributed optimization problems
NeurIPS 2016
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions
JMLR 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
NeurIPS 2016
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
NeurIPS 2015
A Universal Primal-Dual Convex Optimization Framework
NeurIPS 2015
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
NeurIPS 2015
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
ICML 2015
Communication-Efficient Distributed Dual Coordinate Ascent
NeurIPS 2014
Constrained convex minimization via model-based excessive gap
NeurIPS 2014
Decorrelated Vectorial Total Variation
CVPR 2014
Mini-Batch Primal and Dual Methods for SVMs
ICML 2013
PM-Huber: PatchMatch with Huber Regularization for Stereo Matching
ICCV 2013
Beating SGD: Learning SVMs in Sublinear Time
NeurIPS 2011
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
NeurIPS 2008