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Supervised Learning

989 papers

Papers per year

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Papers

Loss-Proportional Subsampling for Subsequent ERM ICML 2013
Consistency versus Realizable H-Consistency for Multiclass Classification ICML 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013
Privacy Aware Learning NIPS 2012
Learning Image Descriptors with the Boosting-Trick NIPS 2012
Supervised Learning with Similarity Functions NIPS 2012
Proper losses for learning from partial labels NIPS 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
A systematic approach to extracting semantic information from functional MRI data NIPS 2012
Pointwise Tracking the Optimal Regression Function NIPS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NIPS 2012
A Ranking-based KNN Approach for Multi-Label Classification ACML 2012
Key Instance Detection in Multi-Instance Learning ACML 2012
Two-way Parallel Class Expression Learning ACML 2012
Multi-Stage Classifier Design ACML 2012
Multi-view Positive and Unlabeled Learning ACML 2012
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012
Random Feature Maps for Dot Product Kernels AISTATS 2012
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012
Using More Data to Speed-up Training Time AISTATS 2012