Benjamin Taskar

2007
20	EE	Percy Liang, Michael I. Jordan, Benjamin Taskar: A permutation-augmented sampler for DP mixture models. ICML 2007: 545-552
2006
19	EE	Percy Liang, Alexandre Bouchard-Côté, Dan Klein, Benjamin Taskar: An End-to-End Discriminative Approach to Machine Translation. ACL 2006
18	EE	Percy Liang, Benjamin Taskar, Dan Klein: Alignment by Agreement. HLT-NAACL 2006
17	EE	Simon Lacoste-Julien, Benjamin Taskar, Dan Klein, Michael I. Jordan: Word Alignment via Quadratic Assignment. HLT-NAACL 2006
16	EE	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	EE	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	EE	Benjamin Taskar, Simon Lacoste-Julien, Dan Klein: A Discriminative Matching Approach to Word Alignment. HLT/EMNLP 2005
13	EE	Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin: Learning structured prediction models: a large margin approach. ICML 2005: 896-903
12	EE	Benjamin Taskar, Simon Lacoste-Julien, Michael I. Jordan: Structured Prediction via the Extragradient Method. NIPS 2005
2004
11	EE	Benjamin Taskar, Vassil Chatalbashev, Daphne Koller: Learning associative Markov networks. ICML 2004
10	EE	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	EE	Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Daphne Koller: Link Prediction in Relational Data. NIPS 2003
7	EE	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	EE	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	EE	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	Alexandre Bouchard-Côté	[19]
5	Vassil Chatalbashev	[11] [13] [15]
6	Michael Collins	[10]
7	Nir Friedman	[2] [4] [5]
8	Audrey Gasch	[2]
9	Lise Getoor	[1] [4] [5]
10	Carlos Guestrin	[7] [13]
11	Dinkar Gupta	[15]
12	Geremy Heitz	[15]
13	Michael I. Jordan	[12] [16] [17] [20]
14	Dan Klein	[14] [17] [18] [19]
15	Daphne Koller	[1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [13] [15]
16	Simon Lacoste-Julien	[12] [14] [16] [17]
17	Percy Liang	[18] [19] [20]
18	David A. McAllester	[10]
19	Andrew Y. Ng	[15]
20	Eran Segal	[2] [3]
21	Ming Fai Wong	[8] [9]