conditional gradient

Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization ICML 2020 A Conditional-Gradient-Based Augmented Lagrangian Framework ICML 2019 Blended Conditonal Gradients ICML 2019 Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019 Lazifying Conditional Gradient Algorithms JMLR 2019 Restarting Frank-Wolfe AISTATS 2019 Stochastic Frank-Wolfe for Composite Convex Minimization NeurIPS 2019 Compact Convex Projections JMLR 2018 Frank-Wolfe with Subsampling Oracle ICML 2018 Non-convex Conditional Gradient Sliding ICML 2018 Stein Points ICML 2018 Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates NeurIPS 2018 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NeurIPS 2017 Generalized Conditional Gradient for Sparse Estimation JMLR 2017 Inverse Covariance Estimation with Structured Groups IJCAI 2017 Lazifying Conditional Gradient Algorithms ICML 2017 Multi-output Polynomial Networks and Factorization Machines NeurIPS 2017 Projection-free Distributed Online Learning in Networks ICML 2017 Fitting Spectral Decay with the k-Support Norm AISTATS 2016 Barrier Frank-Wolfe for Marginal Inference NeurIPS 2015 Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets ICML 2015 Weakly-Supervised Alignment of Video With Text ICCV 2015 Efficient Structured Matrix Rank Minimization NeurIPS 2014 Orbit Regularization NeurIPS 2014