Co-occurring keywords · papers mentioning both
Papers
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
NeurIPS 2021
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry
ICML 2021
Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks
JMLR 2021
Projection-Free Optimization on Uniformly Convex Sets
AISTATS 2021
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
NeurIPS 2021
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
NeurIPS 2021
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
NeurIPS 2021
Submodular + Concave
NeurIPS 2021
Two-sided fairness in rankings via Lorenz dominance
NeurIPS 2021
Apprenticeship Learning via Frank-Wolfe
AAAI 2020
Boosting Frank-Wolfe by Chasing Gradients
ICML 2020
Efficient Projection-free Algorithms for Saddle Point Problems
NeurIPS 2020
Non-monotone DR-submodular Maximization over General Convex Sets
IJCAI 2020
One Sample Stochastic Frank-Wolfe
AISTATS 2020
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
AAAI 2020
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
NeurIPS 2020
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity
NeurIPS 2020
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
EMNLP 2020
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
ICML 2020
A Non–Convex Optimization Approach to Correlation Clustering
AAAI 2019
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization
IJCAI 2019
Deep Frank-Wolfe For Neural Network Optimization
ICLR 2019
KerGM: Kernelized Graph Matching
NeurIPS 2019
Lazifying Conditional Gradient Algorithms
JMLR 2019
Learning Weighted Top-k Support Vector Machine
ACML 2019