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Regression

4964 directly classified papers

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Papers

Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) NIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NIPS 2009
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
Data-driven calibration of linear estimators with minimal penalties NIPS 2009
A Data-Driven Approach to Modeling Choice NIPS 2009
Kernels and learning curves for Gaussian process regression on random graphs NIPS 2009
Robust Nonparametric Regression with Metric-Space Valued Output NIPS 2009
A Gaussian Tree Approximation for Integer Least-Squares NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
Convex Relaxation of Mixture Regression with Efficient Algorithms NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Sequential effects reflect parallel learning of multiple environmental regularities NIPS 2009
Asymptotically Optimal Regularization in Smooth Parametric Models NIPS 2009
Structured output regression for detection with partial truncation NIPS 2009
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Lattice Regression NIPS 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data NIPS 2009
AUC optimization and the two-sample problem NIPS 2009
Fast Image Deconvolution using Hyper-Laplacian Priors NIPS 2009
Fast, smooth and adaptive regression in metric spaces NIPS 2009
Distribution Matching for Transduction NIPS 2009
Submanifold density estimation NIPS 2009