Co-occurring keywords · papers mentioning both
Papers
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm
CVPR 2019
Primal-Dual Block Generalized Frank-Wolfe
NeurIPS 2019
Provably Efficient Maximum Entropy Exploration
ICML 2019
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives
NeurIPS 2019
Restarting Frank-Wolfe
AISTATS 2019
Safe Convex Learning under Uncertain Constraints
AISTATS 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
NeurIPS 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
NeurIPS 2019
Towards Gradient Free and Projection Free Stochastic Optimization
AISTATS 2019
Boosting Variational Inference: an Optimization Perspective
AISTATS 2018
Distributing Frank-Wolfe via Map-Reduce
IJCAI 2018
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
JMLR 2018
Fast Similarity Search via Optimal Sparse Lifting
NeurIPS 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method
AISTATS 2018
Frank-Wolfe with Subsampling Oracle
ICML 2018
Online Continuous Submodular Maximization
AISTATS 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
ICML 2018
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations
IJCAI 2018
An Exact Penalty Method for Locally Convergent Maximum Consensus
CVPR 2017
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
ICML 2017
Conditional Accelerated Lazy Stochastic Gradient Descent
ICML 2017
Continuous DR-submodular Maximization: Structure and Algorithms
NeurIPS 2017
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
NeurIPS 2017
Fast column generation for atomic norm regularization
AISTATS 2017
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
NeurIPS 2017