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Alex Kulesza
2010 – today
- 2013
[j5]Koby Crammer, Alex Kulesza, Mark Dredze: Adaptive regularization of weight vectors. Machine Learning 91(2): 155-187 (2013)- 2012
- [j4]Alex Kulesza, Ben Taskar: Determinantal Point Processes for Machine Learning. Foundations and Trends in Machine Learning 5(2-3): 123-286 (2012)
- [c13]Jennifer Gillenwater, Alex Kulesza, Ben Taskar: Discovering Diverse and Salient Threads in Document Collections. EMNLP-CoNLL 2012: 710-720
- [c12]Koby Crammer, Alex Kulesza, Mark Dredze: New ℌ∞ bounds for the recursive least squares algorithm exploiting input structure. ICASSP 2012: 2017-2020
- [c11]Jennifer Gillenwater, Alex Kulesza, Ben Taskar: Near-Optimal MAP Inference for Determinantal Point Processes. NIPS 2012: 2744-2752
- [c10]Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox: Markov Determinantal Point Processes. UAI 2012: 26-35
- [i3]
- [i2]Alex Kulesza, Ben Taskar: Determinantal point processes for machine learning. CoRR abs/1207.6083 (2012)
- [i1]Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox: Markov Determinantal Point Processes. CoRR abs/1210.4850 (2012)
- 2011
- [c9]
- [c8]
- 2010
- [j3]Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence K. Saul, Fernando Pereira: Exploiting Feature Covariance in High-Dimensional Online Learning. Journal of Machine Learning Research - Proceedings Track 9: 493-500 (2010)
- [j2]Mark Dredze, Alex Kulesza, Koby Crammer: Multi-domain learning by confidence-weighted parameter combination. Machine Learning 79(1-2): 123-149 (2010)
- [j1]Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman Vaughan: A theory of learning from different domains. Machine Learning 79(1-2): 151-175 (2010)
- [c7]
2000 – 2009
- 2009
- [c6]Koby Crammer, Mark Dredze, Alex Kulesza: Multi-Class Confidence Weighted Algorithms. EMNLP 2009: 496-504
- [c5]Koby Crammer, Alex Kulesza, Mark Dredze: Adaptive Regularization of Weight Vectors. NIPS 2009: 414-422
- 2007
- [c4]John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman: Learning Bounds for Domain Adaptation. NIPS 2007
- [c3]
- [c2]Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael Kearns: Empirical Price Modeling for Sponsored Search. WINE 2007: 541-548
- 2004
- [c1]John Blatz, Erin Fitzgerald, George F. Foster, Simona Gandrabur, Cyril Goutte, Alex Kulesza, Alberto Sanchís, Nicola Ueffing: Confidence Estimation for Machine Translation. COLING 2004
Coauthor Index
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last updated on 2013-04-18 02:17 CEST by the dblp team