Supervised Learning

Implicit Differentiation by Perturbation NeurIPS 2010 Learning To Count Objects in Images NeurIPS 2010 Learning via Gaussian Herding NeurIPS 2010 Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 Negative Results for Active Learning with Convex Losses AISTATS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010 On the Theory of Learnining with Privileged Information NeurIPS 2010 Supervised Clustering NeurIPS 2010 Variable margin losses for classifier design NeurIPS 2010 Boosting with Spatial Regularization NeurIPS 2009 Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NeurIPS 2009 Learning Linear Ranking Functions for Beam Search with Application to Planning JMLR 2009 Maximin affinity learning of image segmentation NeurIPS 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NeurIPS 2009 Regularized Distance Metric Learning:Theory and Algorithm NeurIPS 2009 Sufficient Conditions for Agnostic Active Learnable NeurIPS 2009 Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 A Library for Locally Weighted Projection Regression JMLR 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008 Fast Prediction on a Tree NeurIPS 2008 Generative and Discriminative Learning with Unknown Labeling Bias NeurIPS 2008