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Papers (including subtopics)

Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011 Mixed Cumulative Distribution Networks AISTATS 2011 Mixed-Variate Restricted Boltzmann Machines ACML 2011 MSVMpack: A Multi-Class Support Vector Machine Package JMLR 2011 MULAN: A Java Library for Multi-Label Learning JMLR 2011 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Multiclass Learnability and the ERM principle COLT 2011 Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011 Multi-label Active Learning with Auxiliary Learner ACML 2011 Multi-label Classification with Error-correcting Codes ACML 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011 Multiple Instance Learning on Structured Data NeurIPS 2011 Multiple Kernel Learning Algorithms JMLR 2011 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011 Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 Nearest Neighbor based Greedy Coordinate Descent NeurIPS 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011 Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NeurIPS 2011 Neyman-Pearson Classification, Convexity and Stochastic Constraints JMLR 2011 Neyman-Pearson classification under a strict constraint COLT 2011 Noise Thresholds for Spectral Clustering NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Nonlinear Online Classification Algorithm with Probability Margin ACML 2011