I am a PhD student in the Machine Learning group at the Hebrew University of Jerusalem.

My advisors are Prof. Nir Friedman and Dr. Amir Globerson.

Publications:

• An Alternating Direction Method for Dual MAP LP Relaxation , O. Meshi and A. Globerson, European Conference on Machine Learning (ECML PKDD) 2011.
• More data means less inference: A pseudo-max approach to structured learning (supplementary), D. Sontag, O. Meshi, T. Jaakkola, A. Globerson, Neural Information Processing Systems (NIPS) 2010.
• Learning Efficiently with Approximate Inference via Dual Losses , O. Meshi, D. Sontag, T. Jaakkola and A. Globerson, International Conference on Machine Learning (ICML) 2010.
• FastInf: An Efficient Approximate Inference Library , A. Jaimovich, O. Meshi, I. McGraw, G. Elidan, Journal of Machine Learning Research (JMLR), 11:1733-1736, 2010.
• Convexifying the Bethe Free Energy , O. Meshi, A. Jaimovich, A. Globerson and N. Friedman, Uncertainty in Artificial Intelligence (UAI) 2009.
• Template Based Inference in Symmetric Relational Markov Random Fields , A. Jaimovich, O. Meshi and N. Friedman, Uncertainty in Artificial Intelligence (UAI) 2007.
• Evolutionary Conservation and over-representation of functionally enriched network patterns in the yeast regulatory network , O. Meshi, T. Shlomi and E. Ruppin, BMC Systems Biology, 1:1, 2007.

• Learning Symmetric Relational Markov Random Fields , O. Meshi, MSc dissertation, 2007.

Teaching:

• Introduction to Probabilistic Graphical Models 2011/12 2010/11 2009/10 2008/9
• Advanced Topics in Probabilistic Graphical Models 2009/10

Contact information:

Ross Building - Room 59
Givat Ram Campus
The Hebrew University of Jerusalem
Phone: +972-2-6586853

email: