Accelerated training of max-margin Markov networks with kernels

DOI10.1016/j.tcs.2013.09.026zbMath1358.68244OpenAlexW2172943111MaRDI QIDQ391744

Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan

Publication date: 13 January 2014

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2013.09.026

zbMATH Keywords

convex optimizationkernel methodgraphical modelsmax-margin models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• bmrm

Cites Work

• Smooth minimization of non-smooth functions
• An introduction to MCMC for machine learning
• Convex analysis and nonlinear optimization. Theory and examples
• Mirror descent and nonlinear projected subgradient methods for convex optimization.
• Cutting-plane training of structural SVMs
• Graphical Models, Exponential Families, and Variational Inference
• Factor graphs and the sum-product algorithm
• Excessive Gap Technique in Nonsmooth Convex Minimization
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