Benjamin Taskar

Ben Taskar

	2009
26		Nematollah Batmanghelich, Ben Taskar, Christos Davatzikos: A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification. IPMI 2009: 423-434
	2008
25		Timothee Cour, Chris Jordan, Eleni Miltsakaki, Ben Taskar: Movie/Script: Alignment and Parsing of Video and Text Transcription. ECCV (4) 2008: 158-171
24		Paul Vernaza, Ben Taskar, Daniel D. Lee: Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. ICRA 2008: 2750-2757
23		Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar: Multi-View Learning over Structured and Non-Identical Outputs. UAI 2008: 204-211
22		Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar: Multi-View Learning over Structured and Non-Identical Outputs. UAI 2008: 88-96
	2007
21		Percy Liang, Michael I. Jordan, Benjamin Taskar: A permutation-augmented sampler for DP mixture models. ICML 2007: 545-552
20		João Graça, Kuzman Ganchev, Ben Taskar: Expectation Maximization and Posterior Constraints. NIPS 2007
	2006
19		Percy Liang, Alexandre Bouchard-Côté, Dan Klein, Benjamin Taskar: An End-to-End Discriminative Approach to Machine Translation. ACL 2006
18		Percy Liang, Benjamin Taskar, Dan Klein: Alignment by Agreement. HLT-NAACL 2006
17		Simon Lacoste-Julien, Benjamin Taskar, Dan Klein, Michael I. Jordan: Word Alignment via Quadratic Assignment. HLT-NAACL 2006
16		Benjamin Taskar, Simon Lacoste-Julien, Michael I. Jordan: Structured Prediction, Dual Extragradient and Bregman Projections. Journal of Machine Learning Research 7: 1627-1653 (2006)
	2005
15		Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng: Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data. CVPR (2) 2005: 169-176
14		Benjamin Taskar, Simon Lacoste-Julien, Dan Klein: A Discriminative Matching Approach to Word Alignment. HLT/EMNLP 2005
13		Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin: Learning structured prediction models: a large margin approach. ICML 2005: 896-903
12		Benjamin Taskar, Simon Lacoste-Julien, Michael I. Jordan: Structured Prediction via the Extragradient Method. NIPS 2005
	2004
11		Benjamin Taskar, Vassil Chatalbashev, Daphne Koller: Learning associative Markov networks. ICML 2004
10		Peter L. Bartlett, Michael Collins, Benjamin Taskar, David A. McAllester: Exponentiated Gradient Algorithms for Large-margin Structured Classification. NIPS 2004
	2003
9		Benjamin Taskar, Ming Fai Wong, Daphne Koller: Learning on the Test Data: Leveraging Unseen Features. ICML 2003: 744-751
8		Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller: Link Prediction in Relational Data. NIPS 2003
7		Benjamin Taskar, Carlos Guestrin, Daphne Koller: Max-Margin Markov Networks. NIPS 2003
	2002
6		Benjamin Taskar, Pieter Abbeel, Daphne Koller: Discriminative Probabilistic Models for Relational Data. UAI 2002: 485-492
5		Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Link Structure. Journal of Machine Learning Research 3: 679-707 (2002)
	2001
4		Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar: Learning Probabilistic Models of Relational Structure. ICML 2001: 170-177
3		Benjamin Taskar, Eran Segal, Daphne Koller: Probabilistic Classification and Clustering in Relational Data. IJCAI 2001: 870-878
2		Eran Segal, Benjamin Taskar, Audrey Gasch, Nir Friedman, Daphne Koller: Rich probabilistic models for gene expression. ISMB (Supplement of Bioinformatics) 2001: 243-252
1		Lise Getoor, Benjamin Taskar, Daphne Koller: Selectivity Estimation using Probabilistic Models. SIGMOD Conference 2001: 461-472

Coauthor Index

1	Pieter Abbeel	[6] [8]
2	Dragomir Anguelov	[15]
3	Peter L. Bartlett	[10]
4	Nematollah Batmanghelich	[26]
5	John Blitzer	[22] [23]
6	Alexandre Bouchard-Côté	[19]
7	Vassil Chatalbashev	[11] [13] [15]
8	Michael Collins	[10]
9	Timothee Cour	[25]
10	Christos Davatzikos	[26]
11	Nir Friedman	[2] [4] [5]
12	Kuzman Ganchev	[20] [22] [23]
13	Audrey Gasch	[2]
14	Lise Getoor	[1] [4] [5]
15	João Graça	[20] [22] [23]
16	Carlos Guestrin	[7] [13]
17	Dinkar Gupta	[15]
18	Geremy Heitz	[15]
19	Christopher T. Jordan (Chris Jordan)	[25]
20	Michael I. Jordan	[12] [16] [17] [21]
21	Dan Klein	[14] [17] [18] [19]
22	Daphne Koller	[1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [13] [15]
23	Simon Lacoste-Julien	[12] [14] [16] [17]
24	Daniel D. Lee	[24]
25	Percy Liang	[18] [19] [21]
26	David A. McAllester	[10]
27	Eleni Miltsakaki	[25]
28	Andrew Y. Ng	[15]
29	Eran Segal	[2] [3]
30	Paul Vernaza	[24]
31	Ming Fai Wong	[8] [9]

Colors in the list of coauthors