224 citations · 3.2k across the 170 of their papers we have counts for
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cs.LG2012★ 23 cited
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu, Ning Chen, Eric P. Xing
Existing Bayesian models, especially nonparametric Bayesian methods, rely on specially conceived priors to incorporate domain knowledge for discovering improved latent representati…
cs.LG2012★ 37 cited
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Jun Zhu
We present a max-margin nonparametric latent feature model, which unites the ideas of max-margin learning and Bayesian nonparametrics to discover discriminative latent features for…
cs.LG2012
Sparse Topical Coding
Jun Zhu, Eric P. Xing
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic to…