Joshua V Dillon: Publications

2010

K. Collins-Thompson and J. Dillon. Controlling the Search for Expanded Query Representations by Constrained Optimization in Latent Variable Space. SIGIR Workshop on Query Representation and Understanding, 2010.
J. Dillon and K. Collins-Thompson. A Unified Optimization Framework for Finding Reliable Pseudo-Relevance Feedback Models. Proceedings of the Nineteenth International Conference on Information and Knowledge Management (CIKM 2010), 2010.
J. Dillon and G. Lebanon. Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. Journal of Machine Learning Research (accepted pending minor revisions), 2010.
J. V. Dillon, K. Balasubramanian, and G. Lebanon. Asymptotic analysis of generative semi-supervised learning. In Proc. of the International Conference on Machine Learning, 2010.
S. Kim, J. Dillon, and G. Lebanon. Visualizing version controlled documents. Under revision, manuscript upon request, 2010.

2009

J. Dillon and G. Lebanon, Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. Proc. of the 12th International Conference on Artificial Intelligence and Statistics. 2009.

2008

J. Dillon and G. Lebanon, Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. Technical Report 08-04, Department of Statistics, Purdue University, 2008.

2007

G. Lebanon, Y. Mao, and J. Dillon. The Locally Weighted Bag of Words Framework for Document Representation. Journal of Machine Learning Research 8(Oct):2405-2441, 2007.
Y. Mao, J. Dillon, G. Lebanon, Sequential Document Visualization. IEEE Transactions on Visualization and Computer Graphics, 13(6) 2007.
J. Dillon, Y. Mao, G. Lebanon, and J. Zhang. Statistical Translation, Heat Kernels, and Expected Distance. Proc. of the 23rd Conference on Uncertainty in Artificial Intelligence, 2007.

2006

J. Dillon, Y. Mao, G. Lebanon, and J. Zhang. Statistical Translation, Heat Kernels, and Expected Distance. NIPS workshop on Learning to Compare Examples, 2006.

Presentations

J. V. Dillon, K. Balasubramanian, and G. Lebanon. Asymptotic analysis of generative semi-supervised learning. In Proc. of the International Conference on Machine Learning, 2010.
J. Dillon and G. Lebanon, Statistical and Computational Tradeoffs in Stochastic Composite Likelihood. Proc. of the 12th International Conference on Artificial Intelligence and Statistics, Hilton Clearwater Beach Resort, Clearwater Beach, Florida, USA, April 16, 2009.
J. Dillon, Y. Mao, G. Lebanon, and J. Zhang. Statistical Translation, Heat Kernels, and Expected Distance. Proc. of the 23rd Conference on Uncertainty in Artificial Intelligence, University of British Columbia, Vancouver, Canada, July 20, 2007.
J. Dillon, J. Baumohl, D. Casner, A. Copeland and D. Pletcher. Isolation of Production Modi Operandi Correlated with Anomalous Behavior. Lawrence Livermore National Laboratory 2006 Student Poster Symposium, 2006.
D. Casner, J. Dillon and D. Pletcher. Closed Loop Optimization of Gene Sequencing Run Times. Lawrence Livermore National Laboratory 2006 Student Poster Symposium, 2006.