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All publications by Ricardo Henao
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Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley and Lawrence Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Multitask Point Process Predictive Model
Wenzhao Lian, Ricardo Henao, Vinayak Rao, Joseph Lucas and Lawrence Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Deep Poisson Factor Analysis for Topic Modeling
Zhe Gan, Changyou Chen, Ricardo Henao, David Carlson and Lawrence Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Deep Poisson Factor Modeling
Ricardo Henao, Zhe Gan, James Lu and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
Piyush Rai, Changwei Hu, Ricardo Henao and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
Ricardo Henao, Xin Yuan and Lawrence Carin
Advances in Neural Information Processing Systems 27, 2014


Bayesian Sparse Factor Models and DAGs Inference and Comparison
Ricardo Henao and Ole Winther
Advances in Neural Information Processing Systems 22, 2009