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All publications by Alex Kulesza
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Abstraction Selection in Model-based Reinforcement Learning
Nan Jiang, Alex Kulesza and Satinder Singh
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A. Gillenwater, Alex Kulesza, Emily Fox and Ben Taskar
Advances in Neural Information Processing Systems 27, 2014


Near-Optimal MAP Inference for Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza and Ben Taskar
Advances in Neural Information Processing Systems 25, 2012


k-DPPs: Fixed-Size Determinantal Point Processes
Alex Kulesza and Ben Taskar
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Structured Determinantal Point Processes
Alex Kulesza and Ben Taskar
Advances in Neural Information Processing Systems 23, 2010


Exploiting Feature Covariance in High-Dimensional Online Learning
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence K. Saul and Fernando Pereira
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Adaptive Regularization of Weight Vectors
Koby Crammer, Alex Kulesza and Mark Dredze
Advances in Neural Information Processing Systems 22, 2009


Structured Learning with Approximate Inference
Alex Kulesza and Fernando Pereira
Advances in Neural Information Processing Systems 20, 2007


Learning Bounds for Domain Adaptation
John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira and Jennifer Wortman
Advances in Neural Information Processing Systems 20, 2007