Supervised Learning

Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NeurIPS 2011 Hashing Algorithms for Large-Scale Learning NeurIPS 2011 Learning to Search Efficiently in High Dimensions NeurIPS 2011 Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011 Missing Information Impediments to Learnability COLT 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Multiple Instance Learning on Structured Data NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Oracle inequalities for computationally budgeted model selection COLT 2011 Ranking annotators for crowdsourced labeling tasks NeurIPS 2011 Robust Lasso with missing and grossly corrupted observations NeurIPS 2011 Sequential Event Prediction with Association Rules COLT 2011 The Fast Convergence of Boosting NeurIPS 2011 The Rate of Convergence of Adaboost COLT 2011 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010 Agnostic Active Learning Without Constraints NeurIPS 2010 A Novel Kernel for Learning a Neuron Model from Spike Train Data NeurIPS 2010 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Feature Selection using Multiple Streams AISTATS 2010