References

  • Jun Zhu, Ning Chen, Hugh Perkins, and Bo Zhang. Gibbs Max-margin Topic Models with Data Augmentation, Journal of Machine Learning Research (in press), 2014

  • Tianlin Shi, and Jun Zhu. Online Bayesian Passive Aggressive Learning, To Appear in International Conference on Machine Learning (ICML), Beijing, China, 2014

  • Shike Mei, Jun Zhu, and Jerry Zhu. Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models, To Appear in International Conference on Machine Learning (ICML), Beijing, China, 2014

  • Aonan Zhang, Jun Zhu, and Bo Zhang. Max-margin Infinite Hidden Markov Models, To Appear in International Conference on Machine Learning (ICML), Beijing, China, 2014.

  • Rafael Frongillo and Mark D. Reid. Convex foundations for generalized maxent models. In Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Canberra, Australia, December 2013

  • Brendan van Rooyen and Mark D. Reid. Conjugate priors for generalized maxent families. In Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 2013

  • Oluwasanmi Koyejo and Joydeep Ghosh. A representation approach for relative entropy min- imization with expectation constraints. In ICML workshop on Divergences and Divergence Learning (WDDL), 2013a

  • Oluwasanmi Koyejo and Joydeep Ghosh. Constrained Bayesian inference for low rank multitask learning. In Proceedings of the 29th conference on Uncertainty in artificial intelligence (UAI), 2013

  • Jun Zhu. Max-margin nonparametric latent feature models for link prediction. In Proceedings of the 29th International Conference on Machine Learning, ICML, 2012

  • Jun Zhu, Amr Ahmed, and Eric P Xing. MEDLDA: maximum margin supervised topic models. Journal of Machine Learning Research, 13:2237–2278, 2012a

  • Jun Zhu, Ning Chen, and Eric P Xing. Infinite latent svm for classification and multi-task learning. In Advances in Neural Information Processing Systems, pages 1620–1628, 2011

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