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Supervised Learning

988 directly classified papers

Papers per year

Papers

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
Supervised Learning with Similarity Functions NIPS 2012
Proper losses for learning from partial labels NIPS 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
A systematic approach to extracting semantic information from functional MRI data NIPS 2012
Continuous-Time Regression Models for Longitudinal Networks NIPS 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
The Fast Convergence of Boosting NIPS 2011
Ranking annotators for crowdsourced labeling tasks NIPS 2011
Multiple Instance Learning on Structured Data NIPS 2011
Sequential Event Prediction with Association Rules COLT 2011
Robust Lasso with missing and grossly corrupted observations NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
Hashing Algorithms for Large-Scale Learning NIPS 2011
Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Learning to Search Efficiently in High Dimensions NIPS 2011
Missing Information Impediments to Learnability COLT 2011
The Rate of Convergence of Adaboost COLT 2011
Oracle inequalities for computationally budgeted model selection COLT 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
Supervised Clustering NIPS 2010