Active Learning

Contextual Bandits with Similarity Information JMLR 2014 Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost ICML 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014 Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014 From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 Gaussian Process Classification and Active Learning with Multiple Annotators ICML 2014 Hard-Margin Active Linear Regression ICML 2014 Hierarchical Subquery Evaluation for Active Learning on a Graph CVPR 2014 Incremental Activity Modeling and Recognition in Streaming Videos CVPR 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Local algorithms for interactive clustering ICML 2014 Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014 Near-Optimally Teaching the Crowd to Classify ICML 2014 Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014 Online Passive Aggressive Active Learning and Its Applications ACML 2014 On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014 Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem COLT 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 Programming by Feedback ICML 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Selective Sampling with Drift AISTATS 2014 Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process AISTATS 2014