Regression

Robust Logistic Regression and Classification NeurIPS 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 Sample-based approximate regularization ICML 2014 Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014 Scalable Variational Bayesian Matrix Factorization with Side Information AISTATS 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014 SerialRank: Spectral Ranking using Seriation NeurIPS 2014 Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Spectral k-Support Norm Regularization NeurIPS 2014 SphereFlow: 6 DoF Scene Flow from RGB-D Pairs CVPR 2014 The Falling Factorial Basis and Its Statistical Applications ICML 2014 The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014 The Gesture Recognition Toolkit JMLR 2014 The Inverse Regression Topic Model ICML 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014 The Synthesizability of Texture Examples CVPR 2014 Tree-structured Gaussian Process Approximations NeurIPS 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014