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Papers (including subtopics)

Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Effective String Processing and Matching for Author Disambiguation JMLR 2014 Efficiency of conformalized ridge regression COLT 2014 Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014 Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014 Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014 Efficient Boosted Exemplar-based Face Detection CVPR 2014 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014 Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials NeurIPS 2014 Efficient Learning and Planning with Compressed Predictive States JMLR 2014 Efficient Learning of Mahalanobis Metrics for Ranking ICML 2014 Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014 Efficient Nonlinear Markov Models for Human Motion CVPR 2014 Efficient Optimization for Average Precision SVM NeurIPS 2014 Efficient Sample Mining for Object Detection ACML 2014 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014 Efficient Structured Matrix Rank Minimization NeurIPS 2014 Efficient Structured Parsing of Facades Using Dynamic Programming CVPR 2014 Elementary Estimators for Graphical Models NeurIPS 2014 Elementary Estimators for High-Dimensional Linear Regression ICML 2014 Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014 Ellipsoidal Rounding for Nonnegative Matrix Factorization Under Noisy Separability JMLR 2014