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Regression

5,004 papers

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Papers

The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015
Supervised Learning via Euler's Elastica Models JMLR 2015
partykit: A Modular Toolkit for Recursive Partytioning in R JMLR 2015
Active Regression by Stratification NIPS 2014
Gaussian Process Volatility Model NIPS 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Online Optimization for Max-Norm Regularization NIPS 2014
SerialRank: Spectral Ranking using Seriation NIPS 2014
Covariance shrinkage for autocorrelated data NIPS 2014
Exact Post Model Selection Inference for Marginal Screening NIPS 2014
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Mondrian Forests: Efficient Online Random Forests NIPS 2014
Multivariate Regression with Calibration NIPS 2014
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
Sparse Space-Time Deconvolution for Calcium Image Analysis NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
Robust Logistic Regression and Classification NIPS 2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions NIPS 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Spectral k-Support Norm Regularization NIPS 2014
Median Selection Subset Aggregation for Parallel Inference NIPS 2014
Incremental Local Gaussian Regression NIPS 2014
Optimal rates for k-NN density and mode estimation NIPS 2014
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NIPS 2014