Supervised Learning

A systematic approach to extracting semantic information from functional MRI data NeurIPS 2012 Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012 Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 Key Instance Detection in Multi-Instance Learning ACML 2012 L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012 Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NeurIPS 2012 Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick NeurIPS 2012 Learning Valuation Functions COLT 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 Multi-Stage Classifier Design ACML 2012 Multi-view Positive and Unlabeled Learning ACML 2012 Pointwise Tracking the Optimal Regression Function NeurIPS 2012 Privacy Aware Learning NeurIPS 2012 Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012 Proper losses for learning from partial labels NeurIPS 2012 Random Feature Maps for Dot Product Kernels AISTATS 2012 Robust Interactive Learning COLT 2012 Supervised Learning with Similarity Functions NeurIPS 2012 Tight Bounds on Proper Equivalence Query Learning of DNF COLT 2012 Two-way Parallel Class Expression Learning ACML 2012 Using More Data to Speed-up Training Time AISTATS 2012