Regression
5,281 papers
Papers per year
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3
2
7
30
38
49
60
72
63
75
125
124
146
234
280
317
424
514
489
518
508
594
438
164
2000
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Papers
Cumulative Attribute Space for Age and Crowd Density Estimation
CVPR 2013
Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso
COLT 2013
Dirty Statistical Models
NeurIPS 2013
Discriminative Non-blind Deblurring
CVPR 2013
Distribution-Free Distribution Regression
AISTATS 2013
Distribution to Distribution Regression
ICML 2013
Divide and Conquer Kernel Ridge Regression
COLT 2013
DYNACARE: Dynamic Cardiac Arrest Risk Estimation
AISTATS 2013
Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
ICCV 2013
Efficient Optimization for Sparse Gaussian Process Regression
NeurIPS 2013
Efficient Variational Inference for Gaussian Process Regression Networks
AISTATS 2013
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion
NeurIPS 2013
Estimating LASSO Risk and Noise Level
NeurIPS 2013
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling
COLT 2013
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
NeurIPS 2013
Fast Image Super-Resolution Based on In-Place Example Regression
CVPR 2013
Fast Near-GRID Gaussian Process Regression
AISTATS 2013
Feature Multi-Selection among Subjective Features
ICML 2013
Firing rate predictions in optimal balanced networks
NeurIPS 2013
From Semi-supervised to Transfer Counting of Crowds
ICCV 2013
General Functional Matrix Factorization Using Gradient Boosting
ICML 2013
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation
JMLR 2013
Greedy Sparsity-Constrained Optimization
JMLR 2013
Guaranteed Sparse Recovery under Linear Transformation
ICML 2013
GURLS: A Least Squares Library for Supervised Learning
JMLR 2013