Ensemble Methods

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014 Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013 Alternating Decision Forests CVPR 2013 Alternating Regression Forests for Object Detection and Pose Estimation ICCV 2013 Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013 Decision Jungles: Compact and Rich Models for Classification NeurIPS 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013 Discriminative Subspace Clustering CVPR 2013 Non-Linear Domain Adaptation with Boosting NeurIPS 2013 Ranking Forests JMLR 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Saliency Aggregation: A Data-Driven Approach CVPR 2013 Semi-supervised Node Splitting for Random Forest Construction CVPR 2013 Structured Forests for Fast Edge Detection ICCV 2013 Understanding variable importances in forests of randomized trees NeurIPS 2013 Bayesian Classifier Combination AISTATS 2012 Context-Sensitive Decision Forests for Object Detection NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012 Multi-label Subspace Ensemble AISTATS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012 Active Classification based on Value of Classifier NeurIPS 2011 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011