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Regression

4964 directly classified papers

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Papers

Parametric Task Learning NIPS 2013
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NIPS 2013
Solving inverse problem of Markov chain with partial observations NIPS 2013
Estimating LASSO Risk and Noise Level NIPS 2013
Regression-tree Tuning in a Streaming Setting NIPS 2013
Online Learning with Costly Features and Labels NIPS 2013
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
Sketching Structured Matrices for Faster Nonlinear Regression NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Dirty Statistical Models NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013
Lasso Screening Rules via Dual Polytope Projection NIPS 2013
Fast Near-GRID Gaussian Process Regression AISTATS 2013
A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Distribution-Free Distribution Regression AISTATS 2013
Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013
Matrix Completion From any Given Set of Observations NIPS 2013
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
A Comparative Framework for Preconditioned Lasso Algorithms NIPS 2013
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NIPS 2013
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013
Convex Relaxations for Permutation Problems NIPS 2013
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform NIPS 2013