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Regression

4964 directly classified papers

Papers per year

Papers

Optimal rates for k-NN density and mode estimation NIPS 2014
Incremental Local Gaussian Regression NIPS 2014
Median Selection Subset Aggregation for Parallel Inference NIPS 2014
Link Prediction in Graphs with Autoregressive Features JMLR 2014
Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014
Open Problem: Efficient Online Sparse Regression COLT 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014
Efficiency of conformalized ridge regression COLT 2014
Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014
Robust Inverse Covariance Estimation under Noisy Measurements ICML 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014
A Statistical Perspective on Algorithmic Leveraging ICML 2014
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014
Memory Efficient Kernel Approximation ICML 2014
Heavy-tailed regression with a generalized median-of-means ICML 2014
Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014
Elementary Estimators for High-Dimensional Linear Regression ICML 2014
Optimality of Graphlet Screening in High Dimensional Variable Selection JMLR 2014
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions JMLR 2014
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014
Optimal Mean Robust Principal Component Analysis ICML 2014
Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014
Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014