Arthur Asuncion
asuncion 'at' uci 'dot' edu

Education:

University of California, Irvine
Ph.D., Computer Science (in progress)
M.S., Computer Science (June 2008)
B.S., Information & Computer Science; Minor in Mathematics (June 2006)

Honors:

NSF Graduate Fellow
Barry M. Goldwater Scholar

Research Interests:

Artificial Intelligence / Machine Learning
Distributed Parallel Computing
Social Network Analysis

Journal Publications:

A. Asuncion, P. Smyth, M. Welling. "Asynchronous Distributed Estimation of Topic Models for Document Analysis." Statistical Methodology, 2010. [to appear]

D. Newman, A. Asuncion, P. Smyth, M. Welling. "Distributed Algorithms for Topic Models." Journal of Machine Learning Research (JMLR), 2009. [pdf]

L. Pan, W. Zhang, A. Asuncion, M. Lai, M. Dillencourt, L. Bic, and L. Yang. "Toward Incremental Parallelization Using Navigational Programming." IEICE Transactions, 2006. [pdf]

Conference Publications:

I. Porteous, A. Asuncion, M. Welling. "Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures." AAAI Conference on Artificial Intelligence, 2010. [to appear]

A. Asuncion, Q. Liu, A. Ihler, P. Smyth. "Learning with Blocks: Composite Likelihood and Contrastive Divergence." International Conference on Artificial Intelligence and Statistics (AISTATS), 2010. [to appear]

H. Asuncion, A. Asuncion, R. Taylor. "Software Traceability with Topic Modeling." International Conference on Software Engineering (ICSE), 2010. [to appear]

A. Asuncion, M. Welling, P. Smyth, Y.W. Teh. "On Smoothing and Inference for Topic Models." Uncertainty in Artificial Intelligence (UAI), 2009. [pdf]

A. Asuncion, P. Smyth, M. Welling. "Asynchronous Distributed Learning of Topic Models." Neural Information Processing Systems (NIPS), 2008. [pdf]

I. Porteous, D. Newman, A. Ihler, A. Asuncion, P. Smyth, M. Welling. "Fast Collapsed Gibbs Sampling for Latent Dirichlet Allocation." ACM Knowledge Discovery and Data Mining (KDD), 2008. [pdf]

D. Newman, A. Asuncion, P. Smyth, M. Welling. "Distributed Inference for Latent Dirichlet Allocation." Neural Information Processing Systems (NIPS), 2007. [pdf]

L. Pan, W. Zhang, A. Asuncion, M. Lai, M. Dillencourt, and L. Bic. "Incremental Parallelization Using Navigational Programming: A Case Study." International Conference on Parallel Processing (ICPP), 2005. [pdf]

Other:

D. Newman, A. Asuncion, C. Chemudugunta, V. Kumar, P. Smyth, M. Steyvers. "Exploring Large Document Collections Using Statistical Topic Models." Demo. KDD, 2006. [pdf]