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Regression

5,004 papers

Papers per year

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Papers

Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008
Robust Regression and Lasso NIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations NIPS 2008
Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
Fast Prediction on a Tree NIPS 2008
Tighter Bounds for Structured Estimation NIPS 2008
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
Predicting the Geometry of Metal Binding Sites from Protein Sequence NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NIPS 2008
A rational model of preference learning and choice prediction by children NIPS 2008
Privacy-preserving logistic regression NIPS 2008
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NIPS 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
Sparse Online Learning via Truncated Gradient NIPS 2008
Improved Moves for Truncated Convex Models NIPS 2008
An interior-point stochastic approximation method and an L1-regularized delta rule NIPS 2008
Phase transitions for high-dimensional joint support recovery NIPS 2008
Fast Rates for Regularized Objectives NIPS 2008
Optimal Response Initiation: Why Recent Experience Matters NIPS 2008
Overlaying classifiers: a practical approach for optimal ranking NIPS 2008
Model selection and velocity estimation using novel priors for motion patterns NIPS 2008
Estimation of Information Theoretic Measures for Continuous Random Variables NIPS 2008