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Ben Taskar, Ph.D. - Publications

Affiliations: 
2005 Stanford University, Palo Alto, CA 
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71 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Rising J, Kulesza A, Taskar B. An efficient algorithm for the symmetric principal minor assignment problem Linear Algebra and Its Applications. 473: 126-144. DOI: 10.1016/j.laa.2014.04.019  0.92
2015 Chen T, Singh S, Taskar B, Guestrin C. Efficient second-order gradient boosting for conditional random fields Journal of Machine Learning Research. 38: 147-155.  0.92
2014 Zhang Q, Gollakota S, Taskar B, Rao RPN. Non-intrusive tongue machine interface Conference On Human Factors in Computing Systems - Proceedings. 2555-2558. DOI: 10.1145/2556288.2556981  0.92
2014 Lee EA, Rabaey J, Hartmann B, Kubiatowicz J, Pister K, Simunic Rosing T, Wawrzynek J, Wessel D, Sangiovanni-Vincentelli A, Seshia SA, Blaauw D, Dutta P, Fu K, Guestrin C, Taskar B, et al. The swarm at the edge of the cloud Ieee Design and Test. 31: 8-20. DOI: 10.1109/MDAT.2014.2314600  0.92
2014 Vedaldi A, Mahendran S, Tsogkas S, Maji S, Girshick R, Kannala J, Rahtu E, Kokkinos I, Blaschko MB, Weiss D, Taskar B, Simonyan K, Saphra N, Mohamed S. Understanding objects in detail with fine-grained attributes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3622-3629. DOI: 10.1109/CVPR.2014.463  0.92
2014 Sun M, Farhadi A, Taskar B, Seitz S. Salient montages from unconstrained videos Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8695: 472-488. DOI: 10.1007/978-3-319-10584-0_31  0.92
2014 Affandi RH, Fox EB, Adams RP, Taskar B. Learning the parameters of determinantal point process kernels 31st International Conference On Machine Learning, Icml 2014. 4: 2967-2981.  0.92
2014 London B, Huang B, Taskar B, Getoor L. PAC-Bayesian collective stability Journal of Machine Learning Research. 33: 585-594.  0.92
2014 Gillenwater J, Kulesza A, Fox E, Taskar B. Expectation-maximization for learning determinantal point processes Advances in Neural Information Processing Systems. 4: 3149-3157.  0.92
2013 Weiss D, Sapp B, Taskar B. Dynamic Structured Model Selection Proceedings of the Ieee International Conference On Computer Vision. 2656-2663. DOI: 10.1109/ICCV.2013.330  0.92
2013 Sapp B, Taskar B. MODEC: Multimodal decomposable models for human pose estimation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3674-3681. DOI: 10.1109/CVPR.2013.471  0.92
2013 Weiss D, Taskar B. SCALPEL: Segmentation cascades with localized priors and efficient learning Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2035-2042. DOI: 10.1109/CVPR.2013.265  0.92
2013 Pele O, Taskar B. The tangent Earth mover's distance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8085: 397-404. DOI: 10.1007/978-3-642-40020-9_43  0.92
2013 Weiss D, Taskar B. Learning adaptive value of information for structured prediction Advances in Neural Information Processing Systems.  0.92
2013 Pele O, Taskar B, Globerson A, Werman M. The pairwise piecewise-linear embedding for efficient non-linear classification 30th International Conference On Machine Learning, Icml 2013. 205-213.  0.92
2013 Affandi RH, Fox EB, Taskar B. Approximate inference in continuous determinantal point processes Advances in Neural Information Processing Systems.  0.92
2013 Affandi RH, Kulesza A, Fox EB, Taskar B. Nyström approximation for large-scale determinantal processes Journal of Machine Learning Research. 31: 85-98.  0.92
2012 Batmanghelich NK, Taskar B, Davatzikos C. Generative-discriminative basis learning for medical imaging. Ieee Transactions On Medical Imaging. 31: 51-69. PMID 21791408 DOI: 10.1109/TMI.2011.2162961  0.92
2012 Kulesza A, Taskar B. Determinantal point processes for machine learning Foundations and Trends in Machine Learning. 5: 123-286. DOI: 10.1561/2200000044  0.92
2012 Toshev A, Taskar B, Daniilidis K. Shape-based object detection via boundary structure segmentation International Journal of Computer Vision. 99: 123-146. DOI: 10.1007/s11263-012-0521-z  0.92
2012 Li S, Graça JV, Taskar B. Wiki-ly supervised part-of-speech tagging Emnlp-Conll 2012 - 2012 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 1389-1398.  0.92
2012 Gillenwater J, Kulesza A, Taskar B. Discovering diverse and salient threads in document collections Emnlp-Conll 2012 - 2012 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 710-720.  0.92
2012 Gillenwater J, Kulesza A, Taskar B. Near-optimal MAP inference for determinantal point processes Advances in Neural Information Processing Systems. 4: 2735-2743.  0.92
2011 Batmanghelich N, Dong A, Taskar B, Davatzikos C. Regularized tensor factorization for multi-modality medical image classification. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 17-24. PMID 22003679 DOI: 10.1007/978-3-642-23626-6_3  0.92
2011 Graça JV, Ganchev K, Coheur L, Pereira F, Taskar B. Controlling complexity in part-of-speech induction Journal of Artificial Intelligence Research. 41: 527-551. DOI: 10.1613/jair.3348  0.92
2011 Batmanghelich KN, Ye DH, Pohl KM, Taskar B, Davatzikos C. Disease classification and prediction via semi-supervised dimensionality reduction Proceedings - International Symposium On Biomedical Imaging. 1086-1090. DOI: 10.1109/ISBI.2011.5872590  0.92
2011 Sapp B, Weiss D, Taskar B. Parsing human motion with stretchable models Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1281-1288. DOI: 10.1109/CVPR.2011.5995607  0.92
2011 Kulesza A, Taskar B. k-DPPs: Fixed-size determinantal point processes Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 1193-1200.  0.92
2011 Kulesza A, Taskar B. Learning determinantal point processes Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 419-427.  0.92
2011 Cour T, Sapp B, Taskar B. Learning from partial labels Journal of Machine Learning Research. 12: 1501-1536.  0.92
2011 Gillenwater J, Ganchev K, Graça J, Pereira F, Taskar B. Posterior sparsity in unsupervised dependency parsing Journal of Machine Learning Research. 12: 455-490.  0.92
2010 Graça JV, Ganchev K, Taskar B. Learning tractableword alignmentmodels with complex constraints Computational Linguistics. 36: 481-504. DOI: 10.1162/coli_a_00007  0.92
2010 Stoyanovich J, Taskar B, Davidson S. Exploring repositories of scientific workflows Proceedings of the Acm Sigmod International Conference On Management of Data. DOI: 10.1145/1833398.1833405  0.92
2010 Batmanghelich N, Gooya A, Kanterakis S, Taskar B, Davatzikos C. Application of trace-norm and low-rank matrix decomposition for computational anatomy 2010 Ieee Computer Society Conference On Computer Vision and Pattern Recognition - Workshops, Cvprw 2010. 146-153. DOI: 10.1109/CVPRW.2010.5543596  0.92
2010 Toshev A, Mordohai P, Taskar B. Detecting and parsing architecture at city scale from range data Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 398-405. DOI: 10.1109/CVPR.2010.5540187  0.92
2010 Sapp B, Jordan C, Taskar B. Adaptive pose priors for pictorial structures Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 422-429. DOI: 10.1109/CVPR.2010.5540182  0.92
2010 Toshev A, Taskar B, Daniilidis K. Object detection via boundary structure segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 950-957. DOI: 10.1109/CVPR.2010.5540114  0.92
2010 Cour T, Sapp B, Nagle A, Taskar B. Talking pictures: Temporal grouping and dialog-supervised person recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1014-1021. DOI: 10.1109/CVPR.2010.5540106  0.92
2010 Obozinski G, Taskar B, Jordan MI. Joint covariate selection and joint subspace selection for multiple classification problems Statistics and Computing. 20: 231-252. DOI: 10.1007/s11222-008-9111-x  0.92
2010 Sapp B, Toshev A, Taskar B. Cascaded models for articulated pose estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6312: 406-420. DOI: 10.1007/978-3-642-15552-9_30  0.92
2010 Kulesza A, Taskar B. Structured determinantal point processes Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.92
2010 Gillenwater J, Ganchev K, Graça J, Pereira F, Taskar B. Sparsity in dependency grammar induction Acl 2010 - 48th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 194-199.  0.92
2010 Weiss D, Sapp B, Taskar B. Sidestepping intractable inference with structured ensemble cascades Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.92
2010 Syed U, Taskar B. Semi-supervised learning with adversarially missing label information Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.92
2010 Weiss D, Taskar B. Structured prediction cascades Journal of Machine Learning Research. 9: 916-923.  0.92
2010 Ganchev K, Graça J, Gillenwater J, Taskar B. Posterior regularization for structured latent variable models Journal of Machine Learning Research. 11: 2001-2049.  0.92
2009 Batmanghelich N, Taskar B, Davatzikos C. A general and unifying framework for feature construction, in image-based pattern classification. Information Processing in Medical Imaging : Proceedings of the ... Conference. 21: 423-34. PMID 19694282 DOI: 10.1007/978-3-642-02498-6_35  0.92
2009 Cour T, Sapp B, Jordan C, Taskar B. Learning from ambiguously labeled images 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 919-926. DOI: 10.1109/CVPRW.2009.5206667  0.92
2009 Graça JV, Ganchev K, Taskar B. Expectation maximization and posterior constraints Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.92
2009 Lin Y, Zhu S, Lee DD, Taskar B. Learning sparse Markov network structure via ensemble-of-trees models Journal of Machine Learning Research. 5: 360-367.  0.92
2009 Ganchev K, Gillenwater J, Taskar B. Dependency grammar induction via bitext projection constraints Acl-Ijcnlp 2009 - Joint Conf. of the 47th Annual Meeting of the Association For Computational Linguistics and 4th Int. Joint Conf. On Natural Language Processing of the Afnlp, Proceedings of the Conf.. 369-377.  0.92
2008 Vernaza P, Taskar B, Lee DD. Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields Proceedings - Ieee International Conference On Robotics and Automation. 2750-2757. DOI: 10.1109/ROBOT.2008.4543627  0.92
2008 Cour T, Jordan C, Miltsakaki E, Taskar B. Movie/script: Alignment and parsing of video and text transcription Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5305: 158-171. DOI: 10.1007/978-3-540-88693-8-12  0.92
2008 Ganchev K, Grača JV, Blitzer J, Taskar B. Multi-view learning over structured and non-identical outputs Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 204-211.  0.92
2008 Ganchev K, Graca̧ JV, Taskar B. Better alignments = Better translations? Acl-08: Hlt - 46th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 986-993.  0.92
2007 Liang P, Jordan MI, Taskar B. A permutation-augmented sampler for DP mixture models Acm International Conference Proceeding Series. 227: 545-552. DOI: 10.1145/1273496.1273565  0.92
2006 Liang P, Bouchard-Côté A, Klein D, Taskar B. An end-to-end discriminative approach to machine translation Coling/Acl 2006 - 21st International Conference On Computational Linguistics and 44th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1: 761-768.  0.92
2006 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction, dual extragradient and bregman projections Journal of Machine Learning Research. 7: 1627-1653.  0.92
2005 Anguelov D, Taskar B, Chatalbashev V, Koller D, Gupta D, Heitz G, Ng A. Discriminative learning of Markov Random fields for segmentation of 3D scan data Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 169-176. DOI: 10.1109/CVPR.2005.133  0.92
2005 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction via the extragradient method Advances in Neural Information Processing Systems. 1345-1352.  0.92
2005 Taskar B, Chatalbashev V, Koller D, Guestrin C. Learning structured prediction models: A large margin approach Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 897-904.  0.92
2005 Taskar B, Lacoste-Julien S, Klein D. A discriminative matching approach to word alignment Hlt/Emnlp 2005 - Human Language Technology Conference and Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 73-80.  0.92
2005 Bartlett PL, Collins M, Taskar B, McAllester D. Exponentiated gradient algorithms for large-margin structured classification Advances in Neural Information Processing Systems.  0.92
2004 Taskar B, Chatalbashev V, Koller D. Learning associative Markov networks Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 807-814.  0.92
2004 Taskar B, Wong MF, Abbeel P, Koller D. Link prediction in relational data Advances in Neural Information Processing Systems.  0.92
2004 Taskar B, Guestrin C, Koller D. Max-margin Markov networks Advances in Neural Information Processing Systems.  0.92
2003 Taskar B, Wong MF, Koller D. Learning on the Test Data: Leveraging "Unseen" Features Proceedings, Twentieth International Conference On Machine Learning. 2: 744-751.  0.92
2003 Getoor L, Friedman N, Koller D, Taskar B. Learning probabilistic models of link structure Journal of Machine Learning Research. 3: 679-707.  0.92
2001 Segal E, Taskar B, Gasch A, Friedman N, Koller D. Rich probabilistic models for gene expression. Bioinformatics (Oxford, England). 17: S243-52. PMID 11473015  0.92
2001 Taskar B, Segal E, Koller D. Probabilistic classification and clustering in relational data Ijcai International Joint Conference On Artificial Intelligence. 870-876.  0.92
2001 Getoor L, Taskar B, Koller D. Selectivity estimation using probabilistic models Proceedings of the Acm Sigmod International Conference On Management of Data. 461-472.  0.92
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