Supervised Learning

Group Norm for Learning Structured SVMs with Unstructured Latent Variables ICCV 2013 Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Learning with Noisy Labels NeurIPS 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Loss-Proportional Subsampling for Subsequent ERM ICML 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 More data speeds up training time in learning halfspaces over sparse vectors NeurIPS 2013 On multi-class classification through the minimization of the confusion matrix norm ACML 2013 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013 Perfect Associative Learning with Spike-Timing-Dependent Plasticity NeurIPS 2013 PLAL: Cluster-based active learning COLT 2013 Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees COLT 2013 Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees ICCV 2013 Robust Structural Metric Learning ICML 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Sieving Regression Forest Votes for Facial Feature Detection in the Wild ICCV 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Structured Learning via Logistic Regression NeurIPS 2013 Unconfused Ultraconservative Multiclass Algorithms ACML 2013 What's in a Name? First Names as Facial Attributes CVPR 2013 Active Learning from Multiple Knowledge Sources AISTATS 2012 A Polynomial-time Form of Robust Regression NeurIPS 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 A Ranking-based KNN Approach for Multi-Label Classification ACML 2012