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Regression

4964 directly classified papers

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Papers

Statistical Performance of Convex Tensor Decomposition NIPS 2011
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NIPS 2011
Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NIPS 2011
Projection onto A Nonnegative Max-Heap NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
A Denoising View of Matrix Completion NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Understanding the Intrinsic Memorability of Images NIPS 2011
Submodular Multi-Label Learning NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
On the accuracy of l1-filtering of signals with block-sparse structure NIPS 2011
A blind sparse deconvolution method for neural spike identification NIPS 2011
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011
Semi-supervised Regression via Parallel Field Regularization NIPS 2011
Sparse Features for PCA-Like Linear Regression NIPS 2011
Greedy Model Averaging NIPS 2011
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011
Robust Lasso with missing and grossly corrupted observations NIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011
Penalty Decomposition Methods for Rank Minimization NIPS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Learning Auto-regressive Models from Sequence and Non-sequence Data NIPS 2011
Continuous-Time Regression Models for Longitudinal Networks NIPS 2011
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011