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All publications by Khashayar Rohanimanesh
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SampleRank: Training Factor Graphs with Atomic Gradients
Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew Mccallum and Michael L. Wick
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
Khashayar Rohanimanesh, Sameer Singh, Andrew Mccallum and Michael J. Black
Advances in Neural Information Processing Systems 22, 2009


Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
Charles A. Sutton, Andrew Mccallum and Khashayar Rohanimanesh
Journal of Machine Learning Research, 2007


Coarticulation: an approach for generating concurrent plans in Markov decision processes
Khashayar Rohanimanesh and Sridhar Mahadevan
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
Charles A. Sutton, Khashayar Rohanimanesh and Andrew Mccallum
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Coarticulation in Markov Decision Processes
Khashayar Rohanimanesh, Robert Platt, Sridhar Mahadevan and Roderic Grupen
Advances in Neural Information Processing Systems 17, 2004


Learning to Take Concurrent Actions
Khashayar Rohanimanesh and Sridhar Mahadevan
Advances in Neural Information Processing Systems 15, 2002