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Poster
implicit Online Learning with Kernels
Li Cheng · Vishwanathan S V N · Dale Schuurmans · Shaojun Wang · Terry Caelli
Author Information
Li Cheng (University of Alberta)
Vishwanathan S V N (National ICT Australia)
Dale Schuurmans (Google Brain & University of Alberta)
Shaojun Wang (Wright State University)
Terry Caelli
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2019 Poster: Surrogate Objectives for Batch Policy Optimization in One-step Decision Making »
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2016 Poster: Deep Learning Games »
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2016 Poster: Reward Augmented Maximum Likelihood for Neural Structured Prediction »
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2015 Poster: Embedding Inference for Structured Multilabel Prediction »
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2014 Workshop: Representation and Learning Methods for Complex Outputs »
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2014 Poster: Convex Deep Learning via Normalized Kernels »
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2013 Workshop: Output Representation Learning »
Yuhong Guo · Dale Schuurmans · Richard Zemel · Samy Bengio · Yoshua Bengio · Li Deng · Dan Roth · Kilian Q Weinberger · Jason Weston · Kihyuk Sohn · Florent Perronnin · Gabriel Synnaeve · Pablo R Strasser · julien audiffren · Carlo Ciliberto · Dan Goldwasser -
2013 Poster: Direct 0-1 Loss Minimization and Margin Maximization with Boosting »
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2013 Poster: Convex Two-Layer Modeling »
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2013 Spotlight: Convex Two-Layer Modeling »
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2013 Poster: Polar Operators for Structured Sparse Estimation »
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2012 Poster: Convex Multi-view Subspace Learning »
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2012 Poster: Accelerated Training for Matrix-norm Regularization: A Boosting Approach »
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2012 Poster: A Polynomial-time Form of Robust Regression »
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2010 Poster: Relaxed Clipping: A Global Training Method for Robust Regression and Classification »
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2009 Poster: Convex Relaxation of Mixture Regression with Efficient Algorithms »
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2009 Poster: A General Projection Property for Distribution Families »
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2009 Poster: A Rate Distortion Approach for Semi-Supervised Conditional Random Fields »
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2008 Workshop: Optimization for Machine Learning »
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2008 Workshop: Structured Input - Structured Output »
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2007 Spotlight: Stable Dual Dynamic Programming »
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2007 Spotlight: Bundle Methods for Machine Learning »
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2007 Poster: Bundle Methods for Machine Learning »
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2007 Poster: Stable Dual Dynamic Programming »
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2007 Demonstration: Elefant »
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2007 Session: Spotlights »
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2007 Poster: Discriminative Batch Mode Active Learning »
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2006 Poster: Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields »
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2006 Poster: Fast Computation of Graph Kernels »
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2006 Poster: Fast Iterative Kernel PCA »
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