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All publications by Seyoung Kim
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On Sparse Gaussian Chain Graph Models
Calvin Mccarter and Seyoung Kim
Advances in Neural Information Processing Systems 27, 2014


A\ast Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
Jing Xiang and Seyoung Kim
Advances in Neural Information Processing Systems 26, 2013


Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization
Kyung-ah Sohn and Seyoung Kim
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
Seyoung Kim and Eric P. Xing
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Heterogeneous multitask learning with joint sparsity constraints
Xiaolin Yang, Seyoung Kim and Eric P. Xing
Advances in Neural Information Processing Systems 22, 2009


Hierarchical Dirichlet Processes with Random Effects
Seyoung Kim and Padhraic Smyth
Advances in Neural Information Processing Systems 19, 2006


Segmental Hidden Markov Models with Random Effects for Waveform Modeling
Seyoung Kim and Padhraic Smyth
Journal of Machine Learning Research, 2006