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Professor Lowd Co-organized Workshops and presented at the ICML'14 in Beijing, China

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Assistant Professor Daniel Lowd co-organized two workshops at the International Conference on Machine Learning (ICML'14), which was held in Beijing in June, 2014. The first was on "Learning, Security, and Privacy", which explored the interaction between machine learning and computer security and privacy. The second workshop was on "Learning Tractable Probabilistic Models", which focused on probabilistic models where exact inference can be done efficiently. Each workshop featured presentations of work in progress, recently published research, and invited talks from leading researchers.

At the workshops, Dr. Lowd also presented work on behalf of his student collaborators, Ali Torkamani and Pedram Rooshenas, who could not attend due to visa issues. The topics of these papers were "On Robustness and Regularization of Structural Support Vector Machines" and "Learning Sum-Product Networks with Direct and Indirect Interactions", respectively; both were originally published in the main ICML conference, one of the top conferences for machine learning.

For more information, see the workshop web sites: ICML 2014 Workshop on Learning, Security, and Privacy and Learning Tractable Probabilistic Models