Currently I am a member of LINQS group at the UMD College Park Computer Science Department.
I was a graduate student in the Machine Learning Group, under the direction of Prof. Ray Mooney. My thesis work focused on statistical relational learning, transfer learning, and in their applications to Web problems.
I spent the summer of 2007 at Microsoft Research where I worked with Matt Richardson on scaling up statistical relational learning to web-size problems.
Publications
PhD Thesis
- Learning with Markov Logic Networks: Transfer Learning, Structure Learning, and an Application to Web Query Disambiguation. Also appears as AI Lab Tech Report Number AI09-05.
[PDF in original format] [Paper-saving single-spaced PDF]
Conference
- Learning to Disambiguate Search Queries from Short Sessions. Lilyana Mihalkova and Raymond Mooney. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-09). Bled, Slovenia, September 2009.
[PDF] [Video]
- Speeding up Inference In Statistical Relational Learning by Clustering Similar Query Literals. Lilyana Mihalkova and Matthew Richardson. In Proceedings of the 19th International Conference on Inductive Logic Programming (ILP-09). Leuven, Belgium, July 2009.
Short version[PDF] Long version [PDF] - Transfer Learning from Minimal Target Data by Mapping across Relational Domains. Lilyana Mihalkova and Raymond Mooney. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09). Pasadena, CA, July 2009.
[PDF] [Resources] - Bottom-Up Learning of Markov Logic Network Structure. Lilyana Mihalkova and Raymond Mooney. In Proceedings of the 24th International Conference on Machine Learning (ICML-07). pp. 625-632. Corvallis, OR. June 2007.
[PDF] [Code] - Mapping and Revising Markov Logic Networks for Transfer Learning. Lilyana Mihalkova, Tuyen Huynh, and Raymond Mooney. In Proceedings of the 22nd Conference on Artificial Intelligence (AAAI-07). pp. 608-614. Vancouver, BC. July 2007
[PDF] [Code] - Using Active
Relocation to Aid Reinforcement Learning. Lilyana Mihalkova and Raymond Mooney. In Proceedings of the 19th International FLAIRS Conference (FLAIRS-2006), pp. 580-585, Melbourne Beach, FL, May 2006.
[PDF] - Using Java to Teach Networking Using a Programmable Network Sniffer M. Jipping, A. Bugaj, L. Mihalkova, and D. Porter. In Proceedings of the 2003 SIGCSE Technical Symposium on Computer Science Education, Vol. 35, No. 1, March 2003.
[PDF]
Refereed Workshop
- Search Query Disambiguation from Short Sessions. Lilyana Mihalkova and Raymond Mooney. In Proceedings of "Beyond Search: Computational Intelligence for the Web" Workshop at NIPS 2008. Whistler, BC. December, 2008.
[PDF] [Video]
- Transfer Learning by Mapping with Minimal Target Data. Lilyana Mihalkova and Raymond Mooney. In AAAI-08 Workshop on Transfer Learning For Complex Tasks. Chicago, IL. July 2008.
[PDF] - Transfer Learning with Markov Logic Networks. Lilyana Mihalkova and Raymond Mooney. ICML-06 Workshop on Structural Knowledge Transfer for Machine Learning.
[PDF] - Experiments on Ensembles with Missing and Noisy Data. Prem Melville, Nishit Shah, Lilyana Mihalkova, and Raymond J. Mooney. In Proceedings of 5th International Workshop on Multiple Classifier Systems (MCS-2004), LNCS Vol. 3077, pp. 293-302, Cagliari, Italy, Springer Verlag, June 2004.
[PDF]
Technical Reports
- Speeding up Inference in Statistical Relational Learning by Clustering Similar Query Literals. Lilyana Mihalkova and Matthew Richardson. Microsoft Research Technical Report MSR-TR-2008-72. May 2008.
[PDF] - Improving Learning of Markov Logic Networks Using Transfer and Bottom-Up Induction. Lilyana Mihalkova. Ph.D. Proposal. Also appears as AI Technical Report 07-341.
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