Active Learning

Efficient Learning with Partially Observed Attributes JMLR 2011 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011 Iterative Learning for Reliable Crowdsourcing Systems NeurIPS 2011 Lower Bounds for Passive and Active Learning NeurIPS 2011 Models of Cooperative Teaching and Learning JMLR 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011 Multi-Bandit Best Arm Identification NeurIPS 2011 Multi-label Active Learning with Auxiliary Learner ACML 2011 Online Learning of Multiple Tasks and Their Relationships AISTATS 2011 Online Learning: Stochastic, Constrained, and Smoothed Adversaries NeurIPS 2011 Online Submodular Set Cover, Ranking, and Repeated Active Learning NeurIPS 2011 PAC-Bayesian Analysis of Contextual Bandits NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning JMLR 2011 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011 Video Annotation and Tracking with Active Learning NeurIPS 2011 Active Estimation of F-Measures NeurIPS 2010 Active Instance Sampling via Matrix Partition NeurIPS 2010 Active Learning Applied to Patient-Adaptive Heartbeat Classification NeurIPS 2010 Active Learning by Querying Informative and Representative Examples NeurIPS 2010 Active Sequential Learning with Tactile Feedback AISTATS 2010 Agnostic Active Learning Without Constraints NeurIPS 2010 A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design JMLR 2010 Boosted Optimization for Network Classification AISTATS 2010 Extensions of Generalized Binary Search to Group Identification and Exponential Costs NeurIPS 2010