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Sparse Learning
135 directly classified papers
Papers per year
2006: 1
2007: 5
2008: 4
2009: 11
2010: 7
2011: 4
2012: 3
2013: 9
2014: 6
2015: 12
2016: 11
2017: 3
2018: 6
2019: 14
2020: 11
2021: 6
2022: 8
2023: 4
2024: 9
2025: 1
Papers
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization
NIPS 2012
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions
NIPS 2012
Graphical Models via Generalized Linear Models
NIPS 2012
Sparse recovery by thresholded non-negative least squares
NIPS 2011
Structured sparse coding via lateral inhibition
NIPS 2011
Nearest Neighbor based Greedy Coordinate Descent
NIPS 2011
Sparse Recovery with Brownian Sensing
NIPS 2011
The LASSO risk: asymptotic results and real world examples
NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors
NIPS 2010
A Regularization Approach to Nonlinear Variable Selection
AISTATS 2010
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
NIPS 2010
Practical Large-Scale Optimization for Max-norm Regularization
NIPS 2010
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
NIPS 2010
Fast detection of multiple change-points shared by many signals using group LARS
NIPS 2010
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
NIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
NIPS 2009
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
NIPS 2009
Semi-supervised Learning using Sparse Eigenfunction Bases
NIPS 2009
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes
NIPS 2009
Efficient Learning using Forward-Backward Splitting
NIPS 2009
No evidence for active sparsification in the visual cortex
NIPS 2009
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
NIPS 2009
Nonparametric Greedy Algorithms for the Sparse Learning Problem
NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints
NIPS 2009
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