 Learning to classify with possible sensor failuresIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014 |
 Provable Bayesian Inference via Particle Mirror DescentInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2015 |
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 Online Bayesian Passive-Aggressive LearningInternational Conference on Machine Learning (ICML), 2013 Tianlin Shi Jun Zhu |
 Gibbs Max-margin Topic Models with Data AugmentationJournal of machine learning research (JMLR), 2013 |
 Discriminative Relational Topic ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013 |
 Improved Bayesian Logistic Supervised Topic Models with Data
AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2013 |
 Max-Margin Nonparametric Latent Feature Models for Link PredictionInternational Conference on Machine Learning (ICML), 2012 Jun Zhu |
