Approximated Structured Prediction for Learning Large Scale Graphical Models

Abstract

This manuscripts contains the proofs for "A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction".

References in corpus (4)

• Convergent message passing algorithms - a unifying view
• Towards Low-Complexity Linear-Programming Decoding
• Lagrangian Relaxation for MAP Estimation in Graphical Models
• Constrained Approximate Maximum Entropy Learning of Markov Random Fields

Cited by in corpus (1)

• Long-tail learning via logit adjustment