Dale Schuurmans

Dale Schuurmans, Vlado Keselj, Fuchun Peng, 2003, Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03.

Practical PAC Learning

Dale Schuurmans, Russell Greiner, 1995, IJCAI.

Learning with a Strong Adversary pdf

Dale Schuurmans, Csaba Szepesvári, Bing Xu, 2015, ArXiv.

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

Dale Schuurmans, Xiangji Huang, Nick Cercone, 2002, NTCIR.

Dynamic Web log session identification with statistical language models

Dale Schuurmans, Xiangji Huang, Fuchun Peng, 2004, J. Assoc. Inf. Sci. Technol..

Distributed Flow Algorithms for Scalable Similarity Visualization

Alexander J. Smola, Dale Schuurmans, Novi Quadrianto, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Learning Coordination Classifiers

Dale Schuurmans, Russell Greiner, Yuhong Guo, 2005, IJCAI.

A Polynomial-time Form of Robust Regression

Yaoliang Yu, Dale Schuurmans, Özlem Aslan, 2012, NIPS.

Characterizing Rational Versus Exponential learning Curves

Dale Schuurmans, Dale Schuurmans, 1995, J. Comput. Syst. Sci..

Logistic Markov Decision Processes

Craig Boutilier, Dale Schuurmans, Ofer Meshi, 2017, IJCAI.

Variational Bayesian image modelling

Dale Schuurmans, Feng Jiao, Shaojun Wang, 2005, ICML '05.

Automatic Gait Optimization with Gaussian Process Regression

Tao Wang, Dale Schuurmans, Michael H. Bowling, 2007, IJCAI.

Improving Policy Gradient by Exploring Under-appreciated Rewards pdf

Dale Schuurmans, Mohammad Norouzi, Ofir Nachum, 2016, ICLR.

Characterizing the Representer Theorem

Yaoliang Yu, Dale Schuurmans, Csaba Szepesvári, 2013, ICML.

Learning Useful Horn Approximations

Dale Schuurmans, Russell Greiner, Dale Schuurmans, 1992, KR.

Reinforcement Ranking pdf

Dale Schuurmans, Hengshuai Yao, 2013, ArXiv.

Discriminative Maximum Margin Image Object Categorization with Exact Inference

Dale Schuurmans, Luping Zhou, Qinfeng Shi, 2009, 2009 Fifth International Conference on Image and Graphics.

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

Dale Schuurmans, Fuchun Peng, Dale Schuurmans, 2003, ECIR.

Language-independent text learning with statistical n-gram language models

Dale Schuurmans, Fuchun Peng, 2003 .

Discriminative unsupervised learning of structured predictors

Dale Schuurmans, Linli Xu, Finnegan Southey, 2006, ICML.

Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields

Dale Schuurmans, Russell Greiner, Li Cheng, 2004, 2004 International Symposium on Chinese Spoken Language Processing.

Real-Time Discriminative Background Subtraction

Dale Schuurmans, Minglun Gong, Terry Caelli, 2011, IEEE Transactions on Image Processing.

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

Dale Schuurmans, Yi Shi, Guohui Lin, 2009, COCOA.

Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization

Dale Schuurmans, Qin Iris Wang, Colin Cherry, 2006, CoNLL.

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

Martha White, Yaoliang Yu, Dale Schuurmans, 2010, NIPS.

MapReduce for Parallel Reinforcement Learning

Dale Schuurmans, Yuxi Li, Dale Schuurmans, 2011, EWRL.

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

Dale Schuurmans, Fuchun Peng, Yunxin Zhao, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Convex Relaxation of Mixture Regression with Efficient Algorithms

Dale Schuurmans, John Lim, Tibério S. Caetano, 2009, NIPS.

Protein phosphorylation site prediction via feature discovery support vector machine

Bo Yuan, Dale Schuurmans, Yi Shi, 2012 .

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

Dale Schuurmans, Xiangji Huang, Nick Cercone, 2003, Canadian Conference on AI.

Generalized Conditional Gradient for Sparse Estimation pdf

Yaoliang Yu, Xinhua Zhang, Dale Schuurmans, 2014, J. Mach. Learn. Res..

Transformation-Invariant Embedding for Image Analysis

Dale Schuurmans, Ali Ghodsi, Jiayuan Huang, 2004, ECCV.

Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2006, ICGI.

Boosting in the Limit: Maximizing the Margin of Learned Ensembles

Dale Schuurmans, Adam J. Grove, Dale Schuurmans, 1998, AAAI/IAAI.

Frequency analysis of photoplethysmogram and its derivatives

Nigel H. Lovell, Dale Schuurmans, Derek Abbott, 2015, Comput. Methods Programs Biomed..

Towards a Strategy for Boosting Regressors

Bernhard Schölkopf, Alexander J. Smola, Dale Schuurmans, 2000 .

Maximum Margin Bayesian Networks

Dale Schuurmans, Dana F. Wilkinson, Yuhong Guo, 2005, UAI.

Robust Support Vector Machine Training via Convex Outlier Ablation

Koby Crammer, Dale Schuurmans, Linli Xu, 2006, AAAI.

Learning Gaussian Policies from Smoothed Action Value Functions

Dale Schuurmans, Mohammad Norouzi, George Tucker, 2018 .

An efficient algorithm for maximal margin clustering

Dale Schuurmans, Vikas Singh, Jiming Peng, 2012, J. Glob. Optim..

Generalized Optimal Reverse Prediction

Martha White, Dale Schuurmans, Dale Schuurmans, 2012, AISTATS.

Metric-Based Methods for Adaptive Model Selection and Regularization

Dale Schuurmans, Finnegan Southey, Dale Schuurmans, 2002, Machine Learning.

Scalable Metric Learning for Co-Embedding

Martha White, Dale Schuurmans, András György, 2015, ECML/PKDD.

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

Dale Schuurmans, Carlos Guestrin, Relu Patrascu, 2002, ICML.

Convex Deep Learning via Normalized Kernels

Xinhua Zhang, Dale Schuurmans, Özlem Aslan, 2014, NIPS.

Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks

Dale Schuurmans, Martin A. Zinkevich, Dale Schuurmans, 2017, AAAI Workshops.

Exploring model-based methods for reinforcement learning

Dale Schuurmans, Fletcher Lu, 2003 .

Discriminative Batch Mode Active Learning

Dale Schuurmans, Yuhong Guo, Dale Schuurmans, 2007, NIPS.

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

Dale Schuurmans, Fuchun Peng, 2001, NLPRS.

Direct value-approximation for factored MDPs

Dale Schuurmans, Relu Patrascu, Dale Schuurmans, 2001, NIPS.

Learning mixture models with the regularized latent maximum entropy principle

Dale Schuurmans, Fuchun Peng, Yunxin Zhao, 2004, IEEE Transactions on Neural Networks.

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

Dale Schuurmans, Chi-Hoon Lee, Russell Greiner, 2006, NIPS.

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

Dale Schuurmans, Frank P. Ferrie, Karim T. Abou-Moustafa, 2013, ACML.

Holographic Feature Representations of Deep Networks

Dale Schuurmans, Alex Davies, Martin A. Zinkevich, 2017, UAI.

A Geometric Perspective on Optimal Representations for Reinforcement Learning

Nicolas Le Roux, Dale Schuurmans, Tor Lattimore, 2019, NeurIPS.

Using self-supervised word segmentation in Chinese information retrieval

Stephen E. Robertson, Dale Schuurmans, Xiangji Huang, 2002, SIGIR '02.

A Reformulation of Support Vector Machines for General Confidence Functions

Dale Schuurmans, Yuhong Guo, 2009, ACML.

General Convergence Results for Linear Discriminant Updates

Dale Schuurmans, Adam J. Grove, Nick Littlestone, 1997, COLT.

Language and Task Independent Text Categorization with Simple Language Models

Dale Schuurmans, Fuchun Peng, Shaojun Wang, 2003, NAACL.

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

Martha White, Dale Schuurmans, Linli Xu, 2009, ICML '09.

Language Independent Authorship Attribution with Character Level N-Grams

Dale Schuurmans, Vlado Keselj, Fuchun Peng, 2003, EACL.

Variance Reduction via Antithetic Markov Chains

Dale Schuurmans, Michael H. Bowling, James Neufeld, 2015, AISTATS.

The latent maximum entropy principle

Dale Schuurmans, Yunxin Zhao, Shaojun Wang, 2002, Proceedings IEEE International Symposium on Information Theory,.

Data perturbation for escaping local maxima in learning

Dale Schuurmans, Nir Friedman, Gal Elidan, 2002, AAAI/IAAI.

Beyond the Margin

Bernhard Schölkopf, Alexander J. Smola, Dale Schuurmans, 2000 .

Simple Training of Dependency Parsers via Structured Boosting

Dale Schuurmans, Qin Iris Wang, Dekang Lin, 2007, IJCAI.

Sparse Learning Based Linear Coherent Bi-clustering

Xinhua Zhang, Dale Schuurmans, Yi Shi, 2012, WABI.

Monte Carlo Matrix Inversion Policy Evaluation pdf

Dale Schuurmans, Fletcher Lu, Dale Schuurmans, 2002, UAI.

On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress

Nigel H. Lovell, Dale Schuurmans, Derek Abbott, 2015, Sensors.

An Online Discriminative Approach to Background Subtraction

Dale Schuurmans, S. V. N. Vishwanathan, Terry Caelli, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

Modular Community Detection in Networks

Dale Schuurmans, Wenye Li, Dale Schuurmans, 2011, IJCAI.

Monte Carlo inference via greedy importance sampling pdf

Dale Schuurmans, Finnegan Southey, Dale Schuurmans, 2000, UAI.

Convex Two-Layer Modeling

Xinhua Zhang, Dale Schuurmans, Hao Cheng, 2013, NIPS.

Convex Co-embedding

Dale Schuurmans, Yuhong Guo, Farzaneh Mirzazadeh, 2014, AAAI.

Strictly Lexical Dependency Parsing

Dale Schuurmans, Qin Iris Wang, Dekang Lin, 2005, IWPT.

Generalized Support Vector Machines

Bernhard Schölkopf, Alexander J. Smola, Dale Schuurmans, 2000 .

Characterizing Rational Versus Exponential learning Curves

Dale Schuurmans, 1997, J. Comput. Syst. Sci..

Deep Learning Games

Dale Schuurmans, Martin Zinkevich, Dale Schuurmans, 2016, NIPS.

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

Dale Schuurmans, Chi-Hoon Lee, Russell Greiner, 2006, ACL.

EXPLOITING SYNTACTIC, SEMANTIC, AND LEXICAL REGULARITIES IN LANGUAGE MODELING VIA DIRECTED MARKOV RANDOM FIELDS

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2013, Comput. Intell..

Stable Dual Dynamic Programming

Tao Wang, Dale Schuurmans, Michael H. Bowling, 2007, NIPS.

General Convergence Results for Linear Discriminant Updates

Dale Schuurmans, Adam J. Grove, Nick Littlestone, 1997, COLT '97.

Large Margin Bank Boundaries for Ordinal Regression

Bernhard Schölkopf, Alexander J. Smola, Dale Schuurmans, 2000 .

Adaptive Margin Support Vector Machines

Alexander J. Smola, Dale Schuurmans, Bernhard Schölkopf, 2000 .

Maximum Margin Clustering

Dale Schuurmans, Linli Xu, James Neufeld, 2004, NIPS.

Applying Machine Learning to Text Segmentation for Information Retrieval

Stephen E. Robertson, Dale Schuurmans, Xiangji Huang, 2004, Information Retrieval.

Polar Operators for Structured Sparse Estimation

Yaoliang Yu, Xinhua Zhang, Dale Schuurmans, 2013, NIPS.

implicit Online Learning with Kernels

Dale Schuurmans, S. V. N. Vishwanathan, Terry Caelli, 2006, NIPS.

Tangent-corrected embedding

Dale Schuurmans, Ali Ghodsi, Finnegan Southey, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Boltzmann Machine Learning with the Latent Maximum Entropy Principle

Dale Schuurmans, Fuchun Peng, Yunxin Zhao, 2003, UAI.

Understanding the impact of entropy on policy optimization

Nicolas Le Roux, Dale Schuurmans, Mohammad Norouzi, 2018, ICML.

A Hierarchical EM Approach to Word Segmentation

Dale Schuurmans, Fuchun Peng, 2001, NLPRS.

Divergence based graph estimation for manifold learning

Dale Schuurmans, Frank P. Ferrie, Karim T. Abou-Moustafa, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Augmenting Naive Bayes Classifiers with Statistical Language Models

Dale Schuurmans, Fuchun Peng, Shaojun Wang, 2004, Information Retrieval.

Learning an Optimally Accurate Representation System

Dale Schuurmans, Russell Greiner, Dale Schuurmans, 1992, ECAI Workshop on Knowledge Representation and Reasoning.

Learning Gene Regulatory Networks via Globally Regularized Risk Minimization

Dale Schuurmans, Yuhong Guo, Dale Schuurmans, 2007, RECOMB-CG.

Information Marginalization on Subgraphs

Dale Schuurmans, Russell Greiner, Tingshao Zhu, 2006, PKDD.

GACV for Support Vector Machines

Bernhard Schölkopf, Alexander J. Smola, Dale Schuurmans, 2000 .

Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2004, 2004 International Symposium on Chinese Spoken Language Processing.

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

Yaoliang Yu, Dale Schuurmans, Dale Schuurmans, 2011, UAI.

Text Classification in Asian Languages without Word Segmentation

Dale Schuurmans, Xiangji Huang, Fuchun Peng, 2003, IRAL.

Learning Mixture Models with the Latent Maximum Entropy Principle

Dale Schuurmans, Fuchun Peng, Yunxin Zhao, 2003, ICML.

Detection of a and b waves in the acceleration photoplethysmogram

Dale Schuurmans, Derek Abbott, Mohamed Elgendi, 2014, Biomedical engineering online.

Greedy importance sampling: A new Monte Carlo inference method

Dale Schuurmans, Dale Schuurmans, 1999 .

Dynamic Alignment Kernels

Bernhard Schölkopf, Alexander J. Smola, Dale Schuurmans, 2000 .

Non-delusional Q-learning and value-iteration

Craig Boutilier, Dale Schuurmans, Tyler Lu, 2018, NeurIPS.

Reward Augmented Maximum Likelihood for Neural Structured Prediction

Dale Schuurmans, Samy Bengio, Navdeep Jaitly, 2016, NIPS.

Exploration in Policy Mirror Descent

Dale Schuurmans, Martin Müller, Ruitong Huang, 2018 .

Optimal Estimation of Multivariate ARMA Models

Martha White, Dale Schuurmans, Michael H. Bowling, 2015, AAAI.

Probabilistic

Dale Schuurmans, Russell Greiner, William W. Cohen, 2019, 99 Variations on a Proof.

Kernel Exponential Family Estimation via Doubly Dual Embedding pdf

Le Song, Dale Schuurmans, Bo Dai, 2018, AISTATS.

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

Dale Schuurmans, Yi Shi, Guohui Lin, 2010, COCOA.

Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM

Xinhua Zhang, Dale Schuurmans, Yi Shi, 2012, Pacific Symposium on Biocomputing.

Semi-Supervised Convex Training for Dependency Parsing

Dale Schuurmans, Qin Iris Wang, Dekang Lin, 2008, ACL.

Latent Maximum Entropy Approach for Semantic N-gram Language Modeling

Dale Schuurmans, Fuchun Peng, Shaojun Wang, 2003, AISTATS.

Correcting Covariate Shift with the Frank-Wolfe Algorithm

Dale Schuurmans, Russell Greiner, Junfeng Wen, 2015, IJCAI.

Automatic basis selection for RBF networks using Stein's unbiased risk estimator

Dale Schuurmans, Ali Ghodsi, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Deep Probabilistic Canonical Correlation Analysis

Dale Schuurmans, Mahdi Karami, 2021, AAAI.

Spectral analysis of the heart sounds in children with and without pulmonary artery hypertension.

Dale Schuurmans, Roger Zemp, Mohamed Elgendi, 2014, International journal of cardiology.

Understanding the impact of entropy in policy learning

Nicolas Le Roux, Dale Schuurmans, Mohammad Norouzi, 2018 .

The Unique Heart Sound Signature of Children with Pulmonary Artery Hypertension

Dale Schuurmans, Roger Zemp, Mohamed Elgendi, 2015, Pulmonary circulation.

Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals

Nigel H. Lovell, Derek Abbott, Dale Schuurmans, 2015, International journal of environmental research and public health.

Margin Distribution and Soft Margin

Bernhard Schölkopf, Alexander J. Smola, Dale Schuurmans, 2000 .

Non-parametric Regression between Riemannian Manifolds

Dale Schuurmans, Yoshua Bengio, Léon Bottou, 2009, NIPS 2009.

Support Vector Machines on General Confidence Functions

Dale Schuurmans, Yuhong Guo, 2005 .