Dale Schuurmans

	2009
84		Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou: Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 MIT Press 2009
83		Yuhong Guo, Dale Schuurmans: A Reformulation of Support Vector Machines for General Confidence Functions. ACML 2009: 109-119
82		Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans: Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting. COCOA 2009: 73-84
81		Linli Xu, Martha White, Dale Schuurmans: Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. ICML 2009: 143
	2008
80		Yuxi Li, Dale Schuurmans: Policy Iteration for Learning an Exercise Policy for American Options. EWRL 2008: 165-178
	2007
79		Qin Iris Wang, Dekang Lin, Dale Schuurmans: Simple Training of Dependency Parsers via Structured Boosting. IJCAI 2007: 1756-1762
78		Daniel J. Lizotte, Tao Wang, Michael H. Bowling, Dale Schuurmans: Automatic Gait Optimization with Gaussian Process Regression. IJCAI 2007: 944-949
77		Yuhong Guo, Dale Schuurmans: Convex Relaxations of Latent Variable Training. NIPS 2007
76		Yuhong Guo, Dale Schuurmans: Discriminative Batch Mode Active Learning. NIPS 2007
75		Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans: Stable Dual Dynamic Programming. NIPS 2007
74		Yuhong Guo, Dale Schuurmans: Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. RECOMB-CG 2007: 83-95
	2006
73		Tao Wang, Pascal Poupart, Michael H. Bowling, Dale Schuurmans: Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. AAAI 2006
72		Linli Xu, Koby Crammer, Dale Schuurmans: Robust Support Vector Machine Training via Convex Outlier Ablation. AAAI 2006
71		Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans: Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. ACL 2006
70		Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, S. V. N. Vishwanathan: An Online Discriminative Approach to Background Subtraction. AVSS 2006: 2
69		Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans: Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. ICGI 2006: 97-111
68		Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans: Discriminative unsupervised learning of structured predictors. ICML 2006: 1057-1064
67		Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli: implicit Online Learning with Kernels. NIPS 2006: 249-256
66		Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner: Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. NIPS 2006: 793-800
65		Jiayuan Huang, Tingshao Zhu, Dale Schuurmans: Web Communities Identification from Random Walks. PKDD 2006: 187-198
64		Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans: Information Marginalization on Subgraphs. PKDD 2006: 199-210
63		Yuhong Guo, Dale Schuurmans: Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. UAI 2006
62		Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans: Constraint-based optimization and utility elicitation using the minimax decision criterion. Artif. Intell. 170(8-9): 686-713 (2006)
61		Tibério S. Caetano, Terry Caelli, Dale Schuurmans, Dante Augusto Couto Barone: Graphical Models and Point Pattern Matching. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1646-1663 (2006)
	2005
60		Linli Xu, Dale Schuurmans: Unsupervised and Semi-Supervised Multi-Class Support Vector Machines. AAAI 2005: 904-910
59		Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans: Tangent-Corrected Embedding. CVPR (1) 2005: 518-525
58		Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang: Variational Bayesian image modelling. ICML 2005: 129-136
57		Shaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng: Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. ICML 2005: 948-955
56		Tao Wang, Daniel J. Lizotte, Michael H. Bowling, Dale Schuurmans: Bayesian sparse sampling for on-line reward optimization. ICML 2005: 956-963
55		Yuhong Guo, Russell Greiner, Dale Schuurmans: Learning Coordination Classifiers. IJCAI 2005: 714-721
54		Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans: Regret-based Utility Elicitation in Constraint-based Decision Problems. IJCAI 2005: 929-934
53		Yuhong Guo, Dana F. Wilkinson, Dale Schuurmans: Maximum Margin Bayesian Networks. UAI 2005: 233-242
52		Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao: Combining Statistical Language Models via the Latent Maximum Entropy Principle. Machine Learning 60(1-3): 229-250 (2005)
	2004
51		Ali Ghodsi, Jiayuan Huang, Dale Schuurmans: Transformation-Invariant Embedding for Image Analysis. ECCV (4) 2004: 519-530
50		Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans: Maximum Margin Clustering. NIPS 2004
49		Fuchun Peng, Dale Schuurmans, Shaojun Wang: Augmenting Naive Bayes Classifiers with Statistical Language Models. Inf. Retr. 7(3-4): 317-345 (2004)
48		Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans: Dynamic Web log session identification with statistical language models. JASIST 55(14): 1290-1303 (2004)
	2003
47		Shaojun Wang, Dale Schuurmans: Learning Continuous Latent Variable Models with Bregman Divergences. ALT 2003: 190-204
46		Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans: Constraint-Based Optimization with the Minimax Decision Criterion. CP 2003: 168-182
45		Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schuurmans: Face Alignment Using Statistical Models and Wavelet Features. CVPR (1) 2003: 321-327
44		Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone: Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. Canadian Conference on AI 2003: 237-251
43		Fletcher Lu, Dale Schuurmans: Model-Based Least-Squares Policy Evaluation. Canadian Conference on AI 2003: 342-352
42		Fuchun Peng, Dale Schuurmans, Vlado Keselj, Shaojun Wang: Language Independent Authorship Attribution with Character Level N-Grams. EACL 2003: 267-274
41		Fuchun Peng, Dale Schuurmans: Combining Naive Bayes and n-Gram Language Models for Text Classification. ECIR 2003: 335-350
40		Fuchun Peng, Dale Schuurmans, Shaojun Wang: Language and Task Independent Text Categorization with Simple Language Models. HLT-NAACL 2003
39		Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao: Learning Mixture Models with the Latent Maximum Entropy Principle. ICML 2003: 784-791
38		Fuchun Peng, Xiangji Huang, Dale Schuurmans, Shaojun Wang: Text classification in Asian languages without word segmentation. IRAL 2003: 41-48
37		Fletcher Lu, Dale Schuurmans: Monte Carlo Matrix Inversion Policy Evaluation. UAI 2003: 386-393
36		Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao: Boltzmann Machine Learning with the Latent Maximum Entropy Principle. UAI 2003: 567-574
35		Xiangji Huang, Fuchun Peng, Dale Schuurmans, Nick Cercone, Stephen E. Robertson: Applying Machine Learning to Text Segmentation for Information Retrieval. Inf. Retr. 6(3-4): 333-362 (2003)
34		Ali Ghodsi, Dale Schuurmans: Automatic basis selection techniques for RBF networks. Neural Networks 16(5-6): 809-816 (2003)
	2002
33		Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin: Greedy Linear Value-Approximation for Factored Markov Decision Processes. AAAI/IAAI 2002: 285-291
32		Pascal Poupart, Craig Boutilier, Relu Patrascu, Dale Schuurmans: Piecewise Linear Value Function Approximation for Factored MDPs. AAAI/IAAI 2002: 292-299
31		Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone: Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR. COLING 2002
30		Carlos Guestrin, Relu Patrascu, Dale Schuurmans: Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. ICML 2002: 235-242
29		Fletcher Lu, Relu Patrascu, Dale Schuurmans: Investigating the Maximum Likelihood Alternative to TD(lambda). ICML 2002: 403-410
28		Finnegan Southey, Dale Schuurmans, Ali Ghodsi: Regularized Greedy Importance Sampling. NIPS 2002: 753-760
27		Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick Cercone, Stephen E. Robertson: Using self-supervised word segmentation in Chinese information retrieval. SIGIR 2002: 349-350
26		Yoshua Bengio, Dale Schuurmans: Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. Machine Learning 48(1-3): 5-7 (2002)
25		Dale Schuurmans, Finnegan Southey: Metric-Based Methods for Adaptive Model Selection and Regularization. Machine Learning 48(1-3): 51-84 (2002)
	2001
24		Fuchun Peng, Dale Schuurmans: Self-Supervised Chinese Word Segmentation. IDA 2001: 238-247
23		Dale Schuurmans, Finnegan Southey, Robert C. Holte: The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming. IJCAI 2001: 334-341
22		Dale Schuurmans, Relu Patrascu: Direct value-approximation for factored MDPs. NIPS 2001: 1579-1586
21		Fuchun Peng, Dale Schuurmans: A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling. NLPRS 2001: 145-152
20		Fuchun Peng, Dale Schuurmans: A Hierarchical EM Approach to Word Segmentation. NLPRS 2001: 475-480
19		Dale Schuurmans, Finnegan Southey: Local search characteristics of incomplete SAT procedures. Artif. Intell. 132(2): 121-150 (2001)
18		Adam J. Grove, Nick Littlestone, Dale Schuurmans: General Convergence Results for Linear Discriminant Updates. Machine Learning 43(3): 173-210 (2001)
	2000
17		Dale Schuurmans, Finnegan Southey: Local Search Characteristics of Incomplete SAT Procedures. AAAI/IAAI 2000: 297-302
16		Dale Schuurmans, Finnegan Southey: An Adaptive Regularization Criterion for Supervised Learning. ICML 2000: 847-854
15		Dale Schuurmans, Finnegan Southey: Monte Carlo inference via greedy importance sampling. UAI 2000: 523-532
	1999
14		Dale Schuurmans, Lloyd Greenwald: Efficient exploration for optimizing immediate reward. AAAI/IAAI 1999: 385-392
13		Dale Schuurmans: Greedy Importance Sampling. NIPS 1999: 596-602
	1998
12		Adam J. Grove, Dale Schuurmans: Boosting in the Limit: Maximizing the Margin of Learned Ensembles. AAAI/IAAI 1998: 692-699
	1997
11		Dale Schuurmans: A New Metric-Based Approach to Model Selection. AAAI/IAAI 1997: 552-558
10		Adam J. Grove, Nick Littlestone, Dale Schuurmans: General Convergence Results for Linear Discriminant Updates. COLT 1997: 171-183
9		Dale Schuurmans, Lyle H. Ungar, Dean P. Foster: Characterizing the generalization performance of model selection strategies. ICML 1997: 340-348
8		Russell Greiner, Adam J. Grove, Dale Schuurmans: Learning Bayesian Nets that Perform Well. UAI 1997: 198-207
7		Dale Schuurmans: Characterizing Rational Versus Exponential learning Curves. J. Comput. Syst. Sci. 55(1): 140-160 (1997)
	1995
6		Dale Schuurmans, Russell Greiner: Sequential PAC Learning. COLT 1995: 377-384
5		Dale Schuurmans: Characterizing rational versus exponential learning curves. EuroCOLT 1995: 272-286
4		Dale Schuurmans, Russell Greiner: Practical PAC Learning. IJCAI 1995: 1169-1177
	1992
3		Russell Greiner, Dale Schuurmans: Learning an Optimally Accurate Representation System. ECAI Workshop on Knowledge Representation and Reasoning 1992: 145-159
2		Russell Greiner, Dale Schuurmans: Learning Useful Horn Approximations. KR 1992: 383-392
	1989
1		Dale Schuurmans, Jonathan Schaeffer: Representational Difficulties with Classifier Systems. ICGA 1989: 328-333

Coauthor Index

1	Aijun An	[44] [48]
2	Dante Augusto Couto Barone	[61]
3	Yoshua Bengio	[26] [84]
4	Léon Bottou	[84]
5	Craig Boutilier	[32] [33] [46] [54] [62]
6	Michael H. Bowling	[56] [73] [75] [78]
7	Terry Caelli (Terry M. Caelli)	[61] [67] [70]
8	Tibério S. Caetano	[61]
9	Zhipeng Cai	[82]
10	Nick Cercone	[27] [31] [35] [44]
11	Li Cheng	[57] [58] [67] [69] [70]
12	Koby Crammer	[72]
13	Dean P. Foster	[9]
14	Ali Ghodsi	[28] [34] [51] [59]
15	Lloyd Greenwald	[14]
16	Russell Greiner	[2] [3] [4] [6] [8] [55] [57] [64] [66] [69] [71]
17	Adam J. Grove	[8] [10] [12] [18]
18	Carlos Guestrin	[30] [33]
19	Yuhong Guo	[53] [55] [63] [74] [76] [77] [83]
20	Robert C. Holte (Robert Holte)	[23]
21	Jiayuan Huang	[51] [59] [64] [65]
22	Xiangji Huang (Jimmy Huang)	[27] [31] [35] [38] [44] [48]
23	Feng Jiao	[45] [58] [66] [71]
24	Vlado Keselj	[42]
25	Daphne Koller	[84]
26	Bryce Larson	[50]
27	Chi-Hoon Lee	[66] [71]
28	Stan Z. Li	[45]
29	Yuxi Li	[80]
30	Dekang Lin	[79]
31	Guohui Lin (Guo-Hui Lin)	[82]
32	Nick Littlestone	[10] [18]
33	Daniel J. Lizotte	[56] [75] [78]
34	Fletcher Lu	[29] [37] [43]
35	James Neufeld	[50]
36	Relu Patrascu	[22] [29] [30] [32] [33] [46] [54] [62]
37	Fuchun Peng	[20] [21] [24] [27] [31] [35] [36] [38] [39] [40] [41] [42] [44] [48] [49] [52]
38	Pascal Poupart	[32] [33] [46] [54] [62] [73]
39	Stephen E. Robertson (Stephen Robertson)	[27] [35]
40	Jonathan Schaeffer	[1]
41	Yi Shi	[82]
42	Harry Shum (Heung-Yeung Shum)	[45]
43	Finnegan Southey	[15] [16] [17] [19] [23] [25] [28] [59] [68]
44	Lyle H. Ungar	[9]
45	S. V. N. Vishwanathan (Vishy Vishwanathan)	[67] [70]
46	Qin Iris Wang	[79]
47	Shaojun Wang	[36] [38] [39] [40] [42] [47] [49] [52] [57] [58] [66] [67] [69] [70] [71]
48	Shaomin Wang	[57] [69]
49	Tao Wang	[56] [73] [75] [78]
50	Martha White	[81]
51	Dana F. Wilkinson	[53] [68]
52	Linli Xu	[50] [60] [68] [72] [81]
53	Yunxin Zhao	[36] [39] [52]
54	Dengyong Zhou	[64]
55	Tingshao Zhu	[64] [65]

Colors in the list of coauthors