Arthur U. Asuncion
According to our database1, Arthur U. Asuncion
Legend:Book In proceedings Article PhD thesis Other
Nonadaptive Mastermind Algorithms for String and Vector Databases, with Case Studies.
IEEE Trans. Knowl. Data Eng., 2013
TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling.
ACM TIST, 2012
On Smoothing and Inference for Topic Models
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Continuous-Time Regression Models for Longitudinal Networks.
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
Dynamic Egocentric Models for Citation Networks.
Proceedings of the 28th International Conference on Machine Learning, 2011
Learning with Blocks: Composite Likelihood and Contrastive Divergence.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Nonadaptive Mastermind Algorithms for String and Vector Databases, with Case Studies
Turning privacy leaks into floods: surreptitious discovery of social network friendships and other sensitive binary attribute vectors.
Proceedings of the 2010 ACM Workshop on Privacy in the Electronic Society, 2010
Software traceability with topic modeling.
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, 2010
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Distributed Algorithms for Topic Models.
Journal of Machine Learning Research, 2009
On Smoothing and Inference for Topic Models.
Proceedings of the UAI 2009, 2009
Asynchronous Distributed Learning of Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Fast collapsed gibbs sampling for latent dirichlet allocation.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Distributed Inference for Latent Dirichlet Allocation.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Toward Incremental Parallelization Using Navigational Programming.
IEICE Transactions, 2006
Incremental Parallelization Using Navigational Programming: A Case Study.
Proceedings of the 34th International Conference on Parallel Processing (ICPP 2005), 2005