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Regression

5,004 papers

Papers per year

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Papers

Efficient Methods for Overlapping Group Lasso NIPS 2011
k-NN Regression Adapts to Local Intrinsic Dimension NIPS 2011
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NIPS 2011
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors NIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NIPS 2011
Evaluating the inverse decision-making approach to preference learning NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
Understanding the Intrinsic Memorability of Images NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
RTRMC: A Riemannian trust-region method for low-rank matrix completion NIPS 2011
A Denoising View of Matrix Completion NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Additive Gaussian Processes NIPS 2011
Orthogonal Matching Pursuit with Replacement NIPS 2011
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression NIPS 2011
Continuous-Time Regression Models for Longitudinal Networks NIPS 2011
Learning Auto-regressive Models from Sequence and Non-sequence Data NIPS 2011
Projection onto A Nonnegative Max-Heap NIPS 2011
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NIPS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Penalty Decomposition Methods for Rank Minimization NIPS 2011