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Supervised Learning

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Papers

Learning Coverage Functions and Private Release of Marginals COLT 2014 Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching CVPR 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014 Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014 Optimizing F-Measures by Cost-Sensitive Classification NeurIPS 2014 Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification ACML 2014 Robust Logistic Regression and Classification NeurIPS 2014 Sample-based approximate regularization ICML 2014 Sample Distillation for Object Detection and Image Classification ACML 2014 Spectral Methods for Supervised Topic Models NeurIPS 2014 Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014 The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014 The sample complexity of agnostic learning under deterministic labels COLT 2014 Active and passive learning of linear separators under log-concave distributions COLT 2013 Analysis of Scores, Datasets, and Models in Visual Saliency Prediction ICCV 2013 Auditing: Active Learning with Outcome-Dependent Query Costs NeurIPS 2013 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013 Consistency of Robust Kernel Density Estimators COLT 2013 Consistency versus Realizable H-Consistency for Multiclass Classification ICML 2013 Dictionary Learning from Ambiguously Labeled Data CVPR 2013 Discriminative Non-blind Deblurring CVPR 2013 Fast Face Detector Training Using Tailored Views ICCV 2013 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013 Gibbs Max-Margin Topic Models with Fast Sampling Algorithms ICML 2013