Follow
Alex Kulesza
Alex Kulesza
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
A theory of learning from different domains
S Ben-David, J Blitzer, K Crammer, A Kulesza, F Pereira, JW Vaughan
Machine learning 79, 151-175, 2010
37792010
Determinantal point processes for machine learning
A Kulesza, B Taskar
Foundations and Trends® in Machine Learning 5 (2–3), 123-286, 2012
11862012
Learning bounds for domain adaptation
J Blitzer, K Crammer, A Kulesza, F Pereira, J Wortman
Advances in neural information processing systems 20, 2007
5852007
Confidence estimation for machine translation
J Blatz, E Fitzgerald, G Foster, S Gandrabur, C Goutte, A Kulesza, ...
Coling 2004: Proceedings of the 20th international conference on …, 2004
4652004
Adaptive regularization of weight vectors
K Crammer, A Kulesza, M Dredze
Advances in neural information processing systems 22, 2009
3962009
k-dpps: Fixed-size determinantal point processes
A Kulesza, B Taskar
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
3172011
Structured learning with approximate inference
A Kulesza, F Pereira
Advances in neural information processing systems 20, 2007
1822007
The dependence of effective planning horizon on model accuracy
N Jiang, A Kulesza, S Singh, R Lewis
Proceedings of the 2015 international conference on autonomous agents and …, 2015
1672015
Structured determinantal point processes
A Kulesza, B Taskar
Proc. NIPS, 2010
1662010
Multi-domain learning by confidence-weighted parameter combination
M Dredze, A Kulesza, K Crammer
Machine Learning 79, 123-149, 2010
1622010
A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization.
K Hong, JM Conroy, B Favre, A Kulesza, H Lin, A Nenkova
LREC, 1608-1616, 2014
1482014
Near-optimal map inference for determinantal point processes
J Gillenwater, A Kulesza, B Taskar
Advances in Neural Information Processing Systems 25, 2012
1442012
Learning determinantal point processes
A Kulesza, B Taskar
Learning 7, 1-2011, 2011
1362011
A learning approach to improving sentence-level MT evaluation
A Kulesza, SM Shieber
Proceedings of the 10th International Conference on Theoretical and …, 2004
1352004
Adaptive regularization of weight vectors
K Crammer, A Kulesza, M Dredze
Machine learning 91, 155-187, 2013
1122013
Discovering diverse and salient threads in document collections
J Gillenwater, A Kulesza, B Taskar
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
1082012
Multi-class confidence weighted algorithms
K Crammer, M Dredze, A Kulesza
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
1082009
Empirical limitations on high frequency trading profitability
M Kearns, A Kulesza, Y Nevmyvaka
arXiv preprint arXiv:1007.2593, 2010
1052010
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems 27, 2014
1042014
Abstraction selection in model-based reinforcement learning
N Jiang, A Kulesza, S Singh
International Conference on Machine Learning, 179-188, 2015
832015
The system can't perform the operation now. Try again later.
Articles 1–20