mlsanityData to 14 Oct 2026

Generalized conditional gradient: analysis of convergence and applications

arXiv 1510.06567 ↗First posted 22 Oct 2015cs.LG math.OC stat.MLcited by 10

Not on the map. Why?

Abstract (arXiv)

The objectives of this technical report is to provide additional results on the generalized conditional gradient methods introduced by Bredies et al. [BLM05]. Indeed , when the objective function is smooth, we provide a novel certificate of optimality and we show that the algorithm has a linear convergence rate. Applications of this algorithm are also discussed.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Oct 2015.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 2; 2022: 3; 2023: 3; 2024: 0; 2025: 1; 2026: 1.

10 papers.