Learning Paradigms

Transfer in Reinforcement Learning via Shared Features JMLR 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NeurIPS 2011 Active Learning with a Drifting Distribution NeurIPS 2011 Active Ranking using Pairwise Comparisons NeurIPS 2011 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011 A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 Autonomous Learning of Action Models for Planning NeurIPS 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Blending Autonomous Exploration and Apprenticeship Learning NeurIPS 2011 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Co-Training for Domain Adaptation NeurIPS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NeurIPS 2011 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 In All Likelihood, Deep Belief Is Not Enough JMLR 2011 Infinite Latent SVM for Classification and Multi-task Learning NeurIPS 2011 Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011 Learning to Learn with Compound HD Models NeurIPS 2011 Learning Transformation Models for Ranking and Survival Analysis JMLR 2011 Lower Bounds for Passive and Active Learning NeurIPS 2011 Multiple Instance Filtering NeurIPS 2011 Online Learning: Beyond Regret COLT 2011