Learning Efficiently with Approximate Inference via Dual Losses.

Ofer Meshi David A. Sontag Tommi S. Jaakkola Amir Globerson

Published in: ICML (2010)

Keyphrases

approximate inference
graphical models
dynamic bayesian networks
learning algorithm
supervised learning
learning process
conditional random fields
probabilistic inference
structured prediction
information retrieval
high quality
bayesian networks
active learning
dynamic programming
latent variables