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Regression

4964 directly classified papers

Papers per year

Papers

Matrix Completion from Power-Law Distributed Samples NIPS 2009
Factor Modeling for Advertisement Targeting NIPS 2009
Gaussian process regression with Student-t likelihood NIPS 2009
Nonparametric Greedy Algorithms for the Sparse Learning Problem NIPS 2009
Directed Regression NIPS 2009
Compressed Least-Squares Regression NIPS 2009
Simple Local Models for Complex Dynamical Systems NIPS 2008
Non-parametric Regression Between Manifolds NIPS 2008
Fast Prediction on a Tree NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations NIPS 2008
Robust Regression and Lasso NIPS 2008
Estimating vector fields using sparse basis field expansions NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
Structured ranking learning using cumulative distribution networks NIPS 2008
Sparsity of SVMs that use the epsilon-insensitive loss NIPS 2008
A Library for Locally Weighted Projection Regression JMLR 2008
Local Gaussian Process Regression for Real Time Online Model Learning NIPS 2008
Fast Rates for Regularized Objectives NIPS 2008
Phase transitions for high-dimensional joint support recovery NIPS 2008
Forecasting Web Page Views: Methods and Observations JMLR 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
A rational model of preference learning and choice prediction by children NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008