conftrace_

conditional gradient

49 papers

Explore in graph

Also known as

CG

Co-occurring keywords

convex optimization (1321) frank-wolfe algorithm (107) projection-free optimization (25) stochastic optimization (1060) frank-wolfe method (28) variance reduction (523) linear convergence (158) sparse optimization (246) convergence rate (607) projection-free algorithm (12)

Papers

Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle AISTATS 2023
Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems NIPS 2023
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023
Linearization Algorithms for Fully Composite Optimization COLT 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NIPS 2023
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022
Conditional Gradients for the Approximately Vanishing Ideal AISTATS 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization NIPS 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022
Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound UAI 2022
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding ICML 2022
Demystifying and Generalizing BinaryConnect NIPS 2021
Heavy Ball Momentum for Conditional Gradient NIPS 2021
Parameter-free Locally Accelerated Conditional Gradients ICML 2021
Efficient Projection-free Algorithms for Saddle Point Problems NIPS 2020
Conditional gradient methods for stochastically constrained convex minimization ICML 2020
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms ICML 2020
Improved Regret Bounds for Projection-free Bandit Convex Optimization AISTATS 2020
Locally Accelerated Conditional Gradients AISTATS 2020
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NIPS 2020
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices NIPS 2020
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization ICML 2020
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019