Co-occurring keywords · papers mentioning both
Papers
Frank-Wolfe Algorithms for Saddle Point Problems
AISTATS 2017
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
NeurIPS 2017
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
AISTATS 2017
Lazifying Conditional Gradient Algorithms
ICML 2017
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
NeurIPS 2017
Linear Convergence of Stochastic Frank Wolfe Variants
AISTATS 2017
Projection Free Rank-Drop Steps
IJCAI 2017
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
ICML 2016
Learning Infinite RBMs with Frank-Wolfe
NeurIPS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
NeurIPS 2016
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
ICML 2016
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
ICML 2016
Variance-Reduced and Projection-Free Stochastic Optimization
ICML 2016
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle
CVPR 2015
Efficient Training of Structured SVMs via Soft Constraints
AISTATS 2015
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
ICML 2015
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
NeurIPS 2015
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
ICML 2014
Optimization with First-Order Surrogate Functions
ICML 2013
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
ICML 2013