Ensemble Learning

Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013 PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions CVPR 2013 Ranking Forests JMLR 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012 On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012 Active Classification based on Value of Classifier NeurIPS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Greedy Model Averaging NeurIPS 2011 Machine Learning Markets AISTATS 2011 Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 The Fast Convergence of Boosting NeurIPS 2011 The Rate of Convergence of Adaboost COLT 2011 Variance Penalizing AdaBoost NeurIPS 2011 A Theory of Multiclass Boosting NeurIPS 2010 Empirical Bernstein Boosting AISTATS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades NeurIPS 2010 Boosting with Spatial Regularization NeurIPS 2009