Learning Paradigms

Active Learning of Multi-Index Function Models NeurIPS 2012 Active Learning Using Smooth Relative Regret Approximations with Applications COLT 2012 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 An Empirical Etudy of Non-Lexical Extensions to Delexicalized Transfer COLING 2012 A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NeurIPS 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians RSS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012 Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012 Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012 Protocols for Learning Classifiers on Distributed Data AISTATS 2012 Searching for objects driven by context NeurIPS 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012 Semi-Supervised Domain Adaptation with Non-Parametric Copulas NeurIPS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video NeurIPS 2012 Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies JMLR 2012