Co-occurring keywords · papers mentioning both
Papers
The Impact of Regularization on High-dimensional Logistic Regression
NeurIPS 2019
Celer: a Fast Solver for the Lasso with Dual Extrapolation
ICML 2018
Compressing Neural Networks using the Variational Information Bottleneck
ICML 2018
Discovering Phonesthemes with Sparse Regularization
NAACL 2018
High-dimensional Similarity Learning via Dual-sparse Random Projection
IJCAI 2018
Combined Group and Exclusive Sparsity for Deep Neural Networks
ICML 2017
Group Sparse Optimization via lp,q Regularization
JMLR 2017
Robust Discriminative Clustering with Sparse Regularizers
JMLR 2017
Asymmetric Multi-task Learning Based on Task Relatedness and Loss
ICML 2016
Fast ConvNets Using Group-Wise Brain Damage
CVPR 2016
Generalized Direct Change Estimation in Ising Model Structure
ICML 2016
Theory of Dual-sparse Regularized Randomized Reduction
ICML 2015
Learning to Estimate and Remove Non-uniform Image Blur
CVPR 2013
Multi-Stage Multi-Task Feature Learning
JMLR 2013
On Algorithms for Sparse Multi-factor NMF
NeurIPS 2013
On Decomposing the Proximal Map
NeurIPS 2013
Polar Operators for Structured Sparse Estimation
NeurIPS 2013
Reconciling "priors" & "priors" without prejudice?
NeurIPS 2013
Stationary-Sparse Causality Network Learning
JMLR 2013
Stochastic Deconvolution
CVPR 2013
Compressive Sensing MRI with Wavelet Tree Sparsity
NeurIPS 2012
Learning the Dependency Structure of Latent Factors
NeurIPS 2012
Multi-Stage Multi-Task Feature Learning
NeurIPS 2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
AISTATS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization
NeurIPS 2012