• Mathematics, Computer Science
  • Published in NIPS 2011

Infinite Latent SVM for Classification and Multi-task Learning

@inproceedings{Zhu2011InfiniteLS,
  title={Infinite Latent SVM for Classification and Multi-task Learning},
  author={Jun Zhu and Ning Chen and Eric P. Xing},
  booktitle={NIPS},
  year={2011}
}
Unlike existing nonparametric Bayesian models, which rely solely on specially conceived priors to incorporate domain knowledge for discovering improved latent representations, we study nonparametric Bayesian inference with regularization on the desired posterior distributions. While priors can indirectly affect posterior distributions through Bayes' theorem, imposing posterior regularization is arguably more direct and in some cases can be much easier. We particularly focus on developing… CONTINUE READING

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