conftrace_

boosting algorithm

78 papers

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Co-occurring keywords

ensemble learning (1274) weak learner (33) loss function (462) agnostic learning (76) online learning (1777) decision tree (322) convex optimization (1321) multiclass classification (181) sample complexity (1169) ensemble method (564)

Papers

Co-Regularized Hashing for Multimodal Data NIPS 2012
Accelerated Training for Matrix-norm Regularization: A Boosting Approach NIPS 2012
Variance Penalizing AdaBoost NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
ShareBoost: Efficient multiclass learning with feature sharing NIPS 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Boosting Classifier Cascades NIPS 2010
Variable margin losses for classifier design NIPS 2010
Empirical Bernstein Boosting AISTATS 2010
Positive Semidefinite Metric Learning with Boosting NIPS 2009
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost JMLR 2009
Boosting with Spatial Regularization NIPS 2009
Potential-Based Agnostic Boosting NIPS 2009
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008
Adaptive Martingale Boosting NIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
One-Pass Boosting NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
FilterBoost: Regression and Classification on Large Datasets NIPS 2007
Convex Repeated Games and Fenchel Duality NIPS 2006
Chained Boosting NIPS 2006
AdaBoost is Consistent NIPS 2006
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004