Regression
5,281 papers
Papers per year
1
4
2
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
Nonparametric Greedy Algorithms for the Sparse Learning Problem
NeurIPS 2009
Non-parametric learning to aid path planning over slopes
RSS 2009
On the Consistency of Feature Selection using Greedy Least Squares Regression
JMLR 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
NeurIPS 2009
Periodic Step Size Adaptation for Single Pass On-line Learning
NeurIPS 2009
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
NeurIPS 2009
Properties of Monotonic Effects on Directed Acyclic Graphs
JMLR 2009
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
NeurIPS 2009
Robust Nonparametric Regression with Metric-Space Valued Output
NeurIPS 2009
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
NeurIPS 2009
Sequential effects reflect parallel learning of multiple environmental regularities
NeurIPS 2009
Sparse Online Learning via Truncated Gradient
JMLR 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes
NeurIPS 2009
Stable and Efficient Gaussian Process Calculations
JMLR 2009
Structured output regression for detection with partial truncation
NeurIPS 2009
Subgroup Analysis via Recursive Partitioning
JMLR 2009
Submanifold density estimation
NeurIPS 2009
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
NeurIPS 2009
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models
NeurIPS 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data
NeurIPS 2009
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
NeurIPS 2008
A Library for Locally Weighted Projection Regression
JMLR 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
JMLR 2008
An Homotopy Algorithm for the Lasso with Online Observations
NeurIPS 2008
An interior-point stochastic approximation method and an L1-regularized delta rule
NeurIPS 2008