Dae Il Kim

According to our database, Dae Il Kim authored at least 7 papers between 2010 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Scalable Bayesian Nonparametric Models for Networks and Documents.

Dae Il Kim

PhD thesis, 2017

Refinery: An Open Source Topic Modeling Web Platform.

Dae Il Kim, Benjamin F. Swanson, Michael C. Hughes, Erik B. Sudderth

J. Mach. Learn. Res., 2017

2015

Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process.

Michael C. Hughes, Dae Il Kim, Erik B. Sudderth

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2013

Efficient Online Inference for Bayesian Nonparametric Relational Models.

Dae Il Kim, Prem Gopalan, David M. Blei, Erik B. Sudderth

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

The Nonparametric Metadata Dependent Relational Model.

Dae Il Kim, Michael C. Hughes, Erik B. Sudderth

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

The Doubly Correlated Nonparametric Topic Model.

Dae Il Kim, Erik B. Sudderth

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Identification of Imaging Biomarkers in Schizophrenia: A Coefficient-constrained Independent Component Analysis of the Mind Multi-site Schizophrenia Study.

Dae Il Kim, Jing Sui, Srinivas Rachakonda, Tonya White, Dara S. Manoach, Vincent P. Clark, Beng-Choon Ho, S. Charles Schulz, Vince D. Calhoun

Neuroinformatics, 2010