Search Machine Learning Repository:
All publications by Soumya Ray
authors venues years



Bayesian Hierarchical Reinforcement Learning
Feng Cao and Soumya Ray
Advances in Neural Information Processing Systems 25, 2012


Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
Lisa Hellerstein, Bernard Rosell, Eric Bach, Soumya Ray and David Page
Journal of Machine Learning Research, 2009


Automatic discovery and transfer of MAXQ hierarchies
Neville Mehta, Soumya Ray, Prasad Tadepalli and Thomas G. Dietterich
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Multi-task reinforcement learning: a hierarchical Bayesian approach
Aaron Wilson, Alan Fern, Soumya Ray and Prasad Tadepalli
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


An integrated approach to feature invention and model construction for drug activity prediction
Jesse Davis, V\'─▒tor S. Costa, Soumya Ray and David Page
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Multiple-Instance Active Learning
Burr Settles, Mark Craven and Soumya Ray
Advances in Neural Information Processing Systems 20, 2007


Why skewing works: learning difficult Boolean functions with greedy tree learners
Bernard Rosell, Lisa Hellerstein, Soumya Ray and David Page
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Generalized skewing for functions with continuous and nominal attributes
Soumya Ray and David Page
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Supervised versus multiple instance learning: an empirical comparison
Soumya Ray and Mark Craven
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Sequential skewing: an improved skewing algorithm
Soumya Ray and David Page
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004