Meta-Learning

Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective CVPR 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014 Collaborative hyperparameter tuning ICML 2013 Deep Gaussian Processes AISTATS 2013 Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013 Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013 A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 Learning to Learn with Compound HD Models NeurIPS 2011 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007 The On-Line Shortest Path Problem Under Partial Monitoring JMLR 2007 Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning NeurIPS 2006 Algorithmic Stability and Meta-Learning JMLR 2005 Relational Learning as Search in a Critical Region JMLR 2003