Co-occurring keywords · papers mentioning both
Papers
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
AISTATS 2023
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
NeurIPS 2021
Model Function Based Conditional Gradient Method with Armijo-like Line Search
ICML 2019
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
NeurIPS 2019
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
ICML 2018
Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling
JMLR 2018
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
AISTATS 2018
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
ICML 2017
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
AISTATS 2017
Faster Projection-free Convex Optimization over the Spectrahedron
NeurIPS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
NeurIPS 2016
Efficient Structured Matrix Rank Minimization
NeurIPS 2014
Polar Operators for Structured Sparse Estimation
NeurIPS 2013