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Supervised Learning

989 papers

Papers per year

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Papers

Active Learning from Multiple Knowledge Sources AISTATS 2012
Learning Valuation Functions COLT 2012
L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012
Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012
Robust Interactive Learning COLT 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
Tight Bounds on Proper Equivalence Query Learning of DNF COLT 2012
Hashing Algorithms for Large-Scale Learning NIPS 2011
Ranking annotators for crowdsourced labeling tasks NIPS 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Continuous-Time Regression Models for Longitudinal Networks NIPS 2011
The Fast Convergence of Boosting NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
Robust Lasso with missing and grossly corrupted observations NIPS 2011
Multiple Instance Learning on Structured Data NIPS 2011
Learning to Search Efficiently in High Dimensions NIPS 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011
Oracle inequalities for computationally budgeted model selection COLT 2011
The Rate of Convergence of Adaboost COLT 2011
Sequential Event Prediction with Association Rules COLT 2011
Missing Information Impediments to Learnability COLT 2011