boosting algorithm

Human Boosting ICML 2013 Non-Linear Domain Adaptation with Boosting NeurIPS 2013 Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering ACML 2013 Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 Co-Regularized Hashing for Multimodal Data NeurIPS 2012 QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization ACML 2012 Boosting with Maximum Adaptive Sampling NeurIPS 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011 The Fast Convergence of Boosting NeurIPS 2011 Variance Penalizing AdaBoost NeurIPS 2011 A Theory of Multiclass Boosting NeurIPS 2010 Boosting Classifier Cascades NeurIPS 2010 Empirical Bernstein Boosting AISTATS 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Variable margin losses for classifier design NeurIPS 2010 Boosting with Spatial Regularization NeurIPS 2009 Margin-based Ranking and an Equivalence between AdaBoost and RankBoost JMLR 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Adaptive Martingale Boosting NeurIPS 2008 On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008