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 (1-2), 151-175, 2010
10632010
Determinantal point processes for machine learning
A Kulesza, B Taskar
arXiv preprint arXiv:1207.6083, 2012
5192012
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference
S Thrun, LK Saul, B Schölkopf
MIT press, 2004
466*2004
Learning bounds for domain adaptation
J Blitzer, K Crammer, A Kulesza, F Pereira, J Wortman
Advances in neural information processing systems, 129-136, 2008
3152008
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
3052004
Adaptive regularization of weight vectors
K Crammer, A Kulesza, M Dredze
Advances in neural information processing systems, 414-422, 2009
2892009
Structured learning with approximate inference
A Kulesza, F Pereira
Advances in neural information processing systems, 785-792, 2008
1592008
k-DPPs: Fixed-size determinantal point processes
A Kulesza, B Taskar
1482011
A learning approach to improving sentence-level MT evaluation
A Kulesza, SM Shieber
Proceedings of the 10th International Conference on Theoretical and …, 2004
1152004
Structured determinantal point processes
A Kulesza, B Taskar
Proc. NIPS, 2010
1102010
Adaptive regularization of weight vectors
K Crammer, A Kulesza, M Dredze
Machine learning 91 (2), 155-187, 2013
1032013
Multi-domain learning by confidence-weighted parameter combination
M Dredze, A Kulesza, K Crammer
Machine Learning 79 (1-2), 123-149, 2010
992010
Empirical limitations on high-frequency trading profitability
M Kearns, A Kulesza, Y Nevmyvaka
The Journal of Trading 5 (4), 50-62, 2010
882010
Multi-class confidence weighted algorithms
K Crammer, M Dredze, A Kulesza
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
882009
Near-optimal map inference for determinantal point processes
J Gillenwater, A Kulesza, B Taskar
Advances in Neural Information Processing Systems, 2735-2743, 2012
872012
Learning determinantal point processes
A Kulesza, B Taskar
862011
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
752014
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
722012
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems, 3149-3157, 2014
592014
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
532015
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Articles 1–20