binary classification

Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016 Learning Multi-Domain Convolutional Neural Networks for Visual Tracking CVPR 2016 More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning NeurIPS 2016 Neyman-Pearson Classification under High-Dimensional Settings JMLR 2016 Optimal Binary Classifier Aggregation for General Losses NeurIPS 2016 Parameter Estimation for Generalized Thurstone Choice Models ICML 2016 Pronunciation Error Detection for New Language Learners Interspeech 2016 Says Who…? Identification of Expert versus Layman Critics’ Reviews of Documentary Films COLING 2016 The Deception Sub-Challenge: The Data Interspeech 2016 The Sincerity Sub-Challenge: The Data Interspeech 2016 Toward Development and Evaluation of Pain Level-Rating Scale for Emergency Triage based on Vocal Characteristics and Facial Expressions Interspeech 2016 Yin and Yang: Balancing and Answering Binary Visual Questions CVPR 2016 Convex Formulation for Learning from Positive and Unlabeled Data ICML 2015 Discrete Rényi Classifiers NeurIPS 2015 Fast Classification Rates for High-dimensional Gaussian Generative Models NeurIPS 2015 Learning a Descriptor-Specific 3D Keypoint Detector ICCV 2015 Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015 Learning with Symmetric Label Noise: The Importance of Being Unhinged NeurIPS 2015 Online F-Measure Optimization NeurIPS 2015 Optimally Combining Classifiers Using Unlabeled Data COLT 2015 Precision-Recall-Gain Curves: PR Analysis Done Right NeurIPS 2015 Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2015 Surrogate regret bounds for generalized classification performance metrics ACML 2015 An Analysis of Active Learning with Uniform Feature Noise AISTATS 2014 Consistent Binary Classification with Generalized Performance Metrics NeurIPS 2014