Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Characterizing the Representer Theorem.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Divergence based graph estimation for manifold learning.

[BibT_eX]

[DOI]

Karim T. Abou-Moustafa

Frank P. Ferrie

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning.

[BibT_eX]

[DOI]

Karim T. Abou-Moustafa

Frank P. Ferrie

Proceedings of the Asian Conference on Machine Learning, 2013

2012

The Latent Maximum Entropy Principle.

[BibT_eX]

[DOI]

Yunxin Zhao

ACM Trans. Knowl. Discov. Data, 2012

Generalized Optimal Reverse Prediction.

[BibT_eX]

[DOI]

Martha White

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

An efficient algorithm for maximal margin clustering.

[BibT_eX]

[DOI]

J. Glob. Optim., 2012

An experimental methodology for response surface optimization methods.

[BibT_eX]

[DOI]

Daniel J. Lizotte

J. Glob. Optim., 2012

Linear Coherent Bi-Clustering via Beam Searching and Sample Set Clustering.

[BibT_eX]

[DOI]

Discret. Math. Algorithms Appl., 2012

Sparse Learning Based Linear Coherent Bi-clustering.

[BibT_eX]

[DOI]

Proceedings of the Algorithms in Bioinformatics - 12th International Workshop, 2012

Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Accelerated Training for Matrix-norm Regularization: A Boosting Approach.

[BibT_eX]

[DOI]

Xinhua Zhang

Yaoliang Yu

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Polynomial-time Form of Robust Regression.

[BibT_eX]

[DOI]

Yaoliang Yu

Özlem Aslan

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Convex Multi-view Subspace Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Real-Time Discriminative Background Subtraction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering.

[BibT_eX]

[DOI]

Yaoliang Yu

Proceedings of the UAI 2011, 2011

Modular Community Detection in Networks.

[BibT_eX]

[DOI]

Wenye Li

Proceedings of the IJCAI 2011, 2011

MapReduce for Parallel Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Adaptive Large Margin Training for Multilabel Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Relaxed Clipping: A Global Training Method for Robust Regression and Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Distributed Flow Algorithms for Scalable Similarity Visualization.

[BibT_eX]

[DOI]

Novi Quadrianto

Alexander J. Smola

Proceedings of the ICDMW 2010, 2010

Improved Natural Language Learning via Variance-Regularization Support Vector Machines.

[BibT_eX]

[DOI]

Shane Bergsma

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Linear Coherent Bi-cluster Discovery via Beam Detection and Sample Set Clustering.

[BibT_eX]

[DOI]

Proceedings of the Combinatorial Optimization and Applications, 2010

Strictly Lexicalised Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the Trends in Parsing Technology, 2010

2009

Dual Temporal Difference Learning.

[BibT_eX]

[DOI]

Min Yang

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Learning Exercise Policies for American Options.

[BibT_eX]

[DOI]

Csaba Szepesvári

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

A General Projection Property for Distribution Families.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Convex Relaxation of Mixture Regression with Efficient Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning.

[BibT_eX]

[DOI]

Martha White

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Discriminative Maximum Margin Image Object Categorization with Exact Inference.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Image and Graphics, 2009

Fast normalized cut with linear constraints.

[BibT_eX]

[DOI]

Wenye Li

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting.

[BibT_eX]

[DOI]

Proceedings of the Combinatorial Optimization and Applications, 2009

Inference of the structural credit risk model using MLE.

[BibT_eX]

[DOI]

Li Cheng

Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Financial Engineering, 2009

A Reformulation of Support Vector Machines for General Confidence Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning, 2009

2008

Policy Iteration for Learning an Exercise Policy for American Options.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Efficient global optimization for exponential family PCA and low-rank matrix factorization.

[BibT_eX]

[DOI]

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Semi-Supervised Convex Training for Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the ACL 2008, 2008

2007

Learning Gene Regulatory Networks via Globally Regularized Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the Comparative Genomics, RECOMB 2007 International Workshop, 2007

Stable Dual Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Convex Relaxations of Latent Variable Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Discriminative Batch Mode Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Simple Training of Dependency Parsers via Structured Boosting.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Automatic Gait Optimization with Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

2006

Graphical Models and Point Pattern Matching.

[BibT_eX]

[DOI]

Tibério S. Caetano

Terry Caelli

Dante Augusto Couto Barone

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Constraint-based optimization and utility elicitation using the minimax decision criterion.

[BibT_eX]

[DOI]

Artif. Intell., 2006

Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

Web Communities Identification from Random Walks.

[BibT_eX]

[DOI]

Jiayuan Huang

Tingshao Zhu

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Information Marginalization on Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

implicit Online Learning with Kernels.

[BibT_eX]

[DOI]

Li Cheng

S. V. N. Vishwanathan

Terry Caelli

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Discriminative unsupervised learning of structured predictors.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization.

[BibT_eX]

[DOI]

Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

An Online Discriminative Approach to Background Subtraction.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling.

[BibT_eX]

[DOI]

Proceedings of the ACL 2006, 2006

Robust Support Vector Machine Training via Convex Outlier Ablation.

[BibT_eX]

[DOI]

Koby Crammer

Proceedings of the Proceedings, 2006

Compact, Convex Upper Bound Iteration for Approximate POMDP Planning.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

Metric-Based Approaches for Semi-Supervised Regression and Classification.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

2005

Combining Statistical Language Models via the Latent Maximum Entropy Principle.

[BibT_eX]

[DOI]

Mach. Learn., 2005

Maximum Margin Bayesian Networks.

[BibT_eX]

[DOI]

Dana F. Wilkinson

Proceedings of the UAI '05, 2005

Strictly Lexical Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Parsing Technology, 2005

Learning Coordination Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Regret-based Utility Elicitation in Constraint-based Decision Problems.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Bayesian sparse sampling for on-line reward optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Variational Bayesian image modelling.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

Tangent-Corrected Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Unsupervised and Semi-Supervised Multi-Class Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

2004

Learning mixture models with the regularized latent maximum entropy principle.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

Dynamic Web log session identification with statistical language models.

[BibT_eX]

[DOI]

J. Assoc. Inf. Sci. Technol., 2004

Augmenting Naive Bayes Classifiers with Statistical Language Models.

[BibT_eX]

[DOI]

Inf. Retr., 2004

Maximum Margin Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Transformation-Invariant Embedding for Image Analysis.

[BibT_eX]

[DOI]

Ali Ghodsi

Jiayuan Huang

Proceedings of the Computer Vision, 2004

2003

Automatic basis selection techniques for RBF networks.

[BibT_eX]

[DOI]

Ali Ghodsi

Neural Networks, 2003

Applying Machine Learning to Text Segmentation for Information Retrieval.

[BibT_eX]

[DOI]

Inf. Retr., 2003

Boltzmann Machine Learning with the Latent Maximum Entropy Principle.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

Monte Carlo Matrix Inversion Policy Evaluation.

[BibT_eX]

[DOI]

Fletcher Lu

Proceedings of the UAI '03, 2003

Language and Task Independent Text Categorization with Simple Language Models.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Text classification in Asian languages without word segmentation.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Workshop on Information Retrieval with Asian Languages, 2003

Learning Mixture Models with the Latent Maximum Entropy Principle.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Semantic n-gram language modeling with the latent maximum entropy principle.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Combining Naive Bayes and n-Gram Language Models for Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2003

Language Independent Authorship Attribution with Character Level N-Grams.

[BibT_eX]

[DOI]

Proceedings of the EACL 2003, 2003

Face Alignment Using Statistical Models and Wavelet Features.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Constraint-Based Optimization with the Minimax Decision Criterion.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming, 2003

Learning Continuous Latent Variable Models with Bregman Divergences.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003

Latent Maximum Entropy Approach for Semantic N-gram Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Model-Based Least-Squares Policy Evaluation.

[BibT_eX]

[DOI]

Fletcher Lu

Proceedings of the Advances in Artificial Intelligence, 2003

Session Boundary Detection for Association Rule Learning Using n-Gram Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Metric-Based Methods for Adaptive Model Selection and Regularization.

[BibT_eX]

[DOI]

Mach. Learn., 2002

Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination.

[BibT_eX]

[DOI]

Yoshua Bengio

Mach. Learn., 2002

Using self-supervised word segmentation in Chinese information retrieval.

[BibT_eX]

[DOI]

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Waterloo at NTCIR-3: Using Self-supervised Word Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Third NTCIR Workshop on Research in Information Retrieval, 2002

Regularized Greedy Importance Sampling.

[BibT_eX]

[DOI]

Ali Ghodsi

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Investigating the Maximum Likelihood Alternative to TD(lambda).

[BibT_eX]

Fletcher Lu

Relu Patrascu

Proceedings of the Machine Learning, 2002

Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs.

[BibT_eX]

Carlos Guestrin

Relu Patrascu

Proceedings of the Machine Learning, 2002

Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Computational Linguistics, 2002

Piecewise Linear Value Function Approximation for Factored MDPs.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Greedy Linear Value-Approximation for Factored Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Data Perturbation for Escaping Local Maxima in Learning.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

General Convergence Results for Linear Discriminant Updates.

[BibT_eX]

[DOI]

Adam J. Grove

Nick Littlestone

Mach. Learn., 2001

Local search characteristics of incomplete SAT procedures.

[BibT_eX]

[DOI]

Artif. Intell., 2001

A Hierarchical EM Approach to Word Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

A Simple Closed-Class/Open-Class Factorization for Improved Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

Direct value-approximation for factored MDPs.

[BibT_eX]

[DOI]

Relu Patrascu

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming.

[BibT_eX]

Robert C. Holte

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Self-Supervised Chinese Word Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

2000

Monte Carlo inference via greedy importance sampling.

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

An Adaptive Regularization Criterion for Supervised Learning.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Greedy Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Efficient exploration for optimizing immediate reward.

[BibT_eX]

[DOI]

Lloyd G. Greenwald

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Boosting in the Limit: Maximizing the Margin of Learned Ensembles.

[BibT_eX]

[DOI]

Adam J. Grove

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Characterizing Rational Versus Exponential learning Curves.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1997

Learning Bayesian Nets that Perform Well.

[BibT_eX]

[DOI]

Adam J. Grove

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Characterizing the generalization performance of model selection strategies.

[BibT_eX]

Lyle H. Ungar

Dean P. Foster

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

A New Metric-Based Approach to Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Effective classification learning.

[BibT_eX]

[DOI]

PhD thesis, 1996

1995

Practical PAC Learning.

[BibT_eX]

[DOI]