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l1 regularization

87 papers

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Also known as

L1

Co-occurring keywords

feature selection (649) convex optimization (1321) sparse optimization (246) sparse learning (112) coordinate descent (147) graphical model (864) sparse regression (175) online learning (1777) high-dimensional statistics (145) sparse recovery (113)

Papers

A Screening Rule for l1-Regularized Ising Model Estimation NIPS 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NIPS 2017
Feature-distributed sparse regression: a screen-and-clean approach NIPS 2016
Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization COLING 2016
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016
A Sparse Spherical Harmonic-Based Model in Subbands for Head-Related Transfer Functions INTERSPEECH 2016
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016
Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016
Sparse Support Recovery with Non-smooth Loss Functions NIPS 2016
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015
A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015
Nearly Optimal Private LASSO NIPS 2015
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015
A Safe Screening Rule for Sparse Logistic Regression NIPS 2014
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NIPS 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NIPS 2014
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013