A Sequential Dual Method for Structural SVMs

By Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi. 2011

27 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology, Optimization & Training

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Simon Lacoste-Julien
2. Martin Jaggi
3. Peter Richtárik
4. Mark W. Schmidt
5. Vojtech Franc
6. Patrick A. Pletscher
7. Sebastian U. Stich
8. Elad Hazan

In Molecular Biology

1. Simon Lacoste-Julien
2. Mark W. Schmidt
3. Vojtech Franc
4. Martin Jaggi

In Optimization & Training

1. Simon Lacoste-Julien
2. Peter Richtárik
3. Martin Jaggi
4. Mark W. Schmidt
5. Elad Hazan
6. Francis R. Bach
7. Vojtech Franc
8. Sebastian U. Stich

Citations in the corpus

• Block-Coordinate Frank-Wolfe Optimization for Structural SVMs (2012, background): “Balamurugan et al. (2011) propose to approximately solve a quadratic problem on each example using SMO, but they do not provide any rate guarantees.”
• FASOLE: Fast Algorithm for Structured Output LEarning (2014, methodology): “Unlike the SGD which optimizes the primal objective, the recently proposed Sequential Dual Method for Structural SVMs (SDM) [1] and the Block-Coordinate Frank-Wolfe (BCFW) [9] are on-line solvers maximizing the Lagrange dual of the SOSVM problem.”