| A theory of learning from different domains S Ben-David, J Blitzer, K Crammer, A Kulesza, F Pereira, JW Vaughan Machine learning 79 (1), 151-175, 2010 | 1883 | 2010 |
| Determinantal point processes for machine learning A Kulesza, B Taskar arXiv preprint arXiv:1207.6083, 2012 | 792 | 2012 |
| Learning bounds for domain adaptation J Blitzer, K Crammer, A Kulesza, F Pereira, J Wortman | 423 | 2008 |
| 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 | 380 | 2004 |
| Adaptive regularization of weight vectors K Crammer, A Kulesza, M Dredze Advances in neural information processing systems 22, 2009 | 330 | 2009 |
| Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference S Thrun, LK Saul, B Schölkopf MIT press, 2004 | 272 | 2004 |
| k-DPPs: Fixed-size determinantal point processes A Kulesza, B Taskar ICML, 2011 | 230 | 2011 |
| Structured learning with approximate inference A Kulesza, F Pereira | 182 | 2008 |
| Structured determinantal point processes A Kulesza, B Taskar Proc. NIPS, 2010 | 141 | 2010 |
| Adaptive regularization of weight vectors K Crammer, A Kulesza, M Dredze Machine learning 91 (2), 155-187, 2013 | 125 | 2013 |
| A learning approach to improving sentence-level MT evaluation A Kulesza, SM Shieber Proceedings of the 10th International Conference on Theoretical and …, 2004 | 123 | 2004 |
| Multi-domain learning by confidence-weighted parameter combination M Dredze, A Kulesza, K Crammer Machine Learning 79 (1), 123-149, 2010 | 119 | 2010 |
| Near-optimal map inference for determinantal point processes J Gillenwater, A Kulesza, B Taskar Advances in Neural Information Processing Systems, 2744-2752, 2012 | 117 | 2012 |
| Learning determinantal point processes A Kulesza, B Taskar | 113 | 2011 |
| 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 | 109 | 2014 |
| Multi-class confidence weighted algorithms K Crammer, M Dredze, A Kulesza Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 97 | 2009 |
| 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 | 94 | 2015 |
| Empirical limitations on high-frequency trading profitability M Kearns, A Kulesza, Y Nevmyvaka The Journal of Trading 5 (4), 50-62, 2010 | 94 | 2010 |
| 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 | 93 | 2012 |
| Expectation-maximization for learning determinantal point processes JA Gillenwater, A Kulesza, E Fox, B Taskar Advances in Neural Information Processing Systems 27, 3149-3157, 2014 | 86 | 2014 |
