Title |
|---|
 Active Learning and Best-Response DynamicsNeural Information Processing Systems (NeurIPS), 2014 |
 Small Sample Learning of Superpixel Classifiers for EM Segmentation-
Extended VersionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014 |
 A Compression Technique for Analyzing Disagreement-Based Active LearningJournal of machine learning research (JMLR), 2014 |
 Noisy Bayesian Active LearningAllerton Conference on Communication, Control, and Computing (Allerton), 2013 |
 Learning Using Privileged Information: SVM+ and Weighted SVMNeural Networks (Neural Netw.), 2013 |
 Auditing: Active Learning with Outcome-Dependent Query CostsNeural Information Processing Systems (NeurIPS), 2013 |
 Loss-Proportional Subsampling for Subsequent ERMInternational Conference on Machine Learning (ICML), 2013 |
 Active Learning with Distributional EstimatesConference on Uncertainty in Artificial Intelligence (UAI), 2012 |
 Efficient Active Learning of Halfspaces: an Aggressive ApproachJournal of machine learning research (JMLR), 2012 |
 Surrogate Losses in Passive and Active LearningElectronic Journal of Statistics (EJS), 2012 |
 UPAL: Unbiased Pool Based Active LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2011 |
 Robust Interactive LearningAnnual Conference Computational Learning Theory (COLT), 2011 |
 Active Learning Using Smooth Relative Regret Approximations with
ApplicationsAnnual Conference Computational Learning Theory (COLT), 2011 |
 PAC-Bayesian Analysis of the Exploration-Exploitation Trade-offInternational Conference on Machine Learning (ICML), 2011 |
 |
 Average-Case Active Learning with CostsInternational Conference on Algorithmic Learning Theory (ALT), 2009 |
