Welcome! I'm a Ph.D. student in Prof. Smyth's DataLab group, and my general area is artificial intelligence and machine learning. Specifically, my research focuses on large-scale machine learning, Bayesian models (such as topic models and social network models), and efficient statistical inference algorithms (including fast MCMC/variational methods, composite likelihoods, contrastive divergence, and particle filtering). This work has been supported by an NSF Graduate Fellowship. In Spring 2010, I taught CS 175, a project course in artificial intelligence.

Book Chapter:

1. "Distributed Gibbs Sampling for Latent Variable Models"
   A. Asuncion, D. Newman, I. Porteous, S. Triglia, P. Smyth, M. Welling.
   Scaling Up Machine Learning, Cambridge University Press, 2012 (to appear).

Journal Publications:

1. "Nonadaptive Mastermind Algorithms for String and Vector Databases, with Case Studies."
   A. Asuncion, M. Goodrich.
   IEEE Transactions on Knowledge and Data Engineering (TKDE), 2011 (to appear).

2. "TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling."
   B. Gretarsson, J. O'Donovan, S. Bostandjiev, T. Holleler, A. Asuncion, D. Newman, P. Smyth.
   ACM Transactions on Intelligent Systems and Technology (TIST), 2011.[pdf]

3. "Asynchronous Distributed Estimation of Topic Models for Document Analysis."
   A. Asuncion, P. Smyth, M. Welling.
   Statistical Methodology, 2011. [link]

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

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

Conference Publications:

1. "Continuous-Time Regression Models for Longitudinal Networks."
   D.Q. Vu, A. Asuncion, D. Hunter, P. Smyth.
   Neural Information Processing Systems (NIPS), 2011. [pdf]

2. "Dynamic Egocentric Models for Citation Networks."
   D.Q. Vu, A. Asuncion, D. Hunter, P. Smyth.
   International Conference on Machine Learning (ICML), 2011. [pdf]

3. "A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks."
   J. Foulds, C. DuBois, A. Asuncion, C. Butts, P. Smyth.
   Artificial Intelligence and Statistics (AISTATS), 2011. [pdf]

4. "Particle Filtered MCMC-MLE with Connections to Contrastive Divergence."
   A. Asuncion, Q. Liu, A. Ihler, P. Smyth.
   International Conference on Machine Learning (ICML), 2010. [pdf]

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

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

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

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

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

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

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

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

Workshop Papers:

1. "Turning Privacy Leaks into Floods: Surreptitious Discovery of Social Network Friendships and Other Sensitive Binary Attribute Vectors."
   A. Asuncion. M. Goodrich.
   ACM Workshop on Privacy in the Electronic Society (WPES), 2010. [link]

2. "Approximate Mean Field for Dirichlet-Based Models."
   A. Asuncion.
   Topic Models Workshop, ICML, 2010. [pdf]

Other:

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

2. "UCI Machine Learning Repository."
   A. Asuncion, D. Newman, 2007. [link]

Note: I am currently in the process of redesigning my personal site (see my old personal site here). I'm also starting a new personal blog.