a public good project by the
Synthesis
Company
of California

© 2026

Pegasos: primal estimated sub-gradient solver for SVM | doi.page

0 citations0 references

Google Scholar doi.org

Pegasos: primal estimated sub-gradient solver for SVM

Mathematical Programming·2010·Vol. 127(1), pp. 3–30

Citations Over TimeTop 1% of 2010 papers

Shai Shalev‐Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter

Related Papers

→ Stochastic Gradient Descent(2015)47 cited
→ Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent(2019)19 cited
→ Accelerating Extreme Search Based on Natural Gradient Descent with Beta Distribution(2021)4 cited
→ Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent(2019)4 cited
→ Training Neural Networks Using Predictor-Corrector Gradient Descent(2018)