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.
I am a recipient of the Google Europe Fellowship in Machine Learning.
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
O. Meshi, T. Jaakkola, A. Globerson,
Neural Information Processing Systems (NIPS) 2012.
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
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.
Ross Building - Room 59
Givat Ram Campus
The Hebrew University of Jerusalem