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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

Reproducibility of predictive networks for mouse visual cortex NIPS 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
Tight bounds for maximum $\ell_1$-margin classifiers ALT 2024
Adaptive Estimation of Graphical Models under Total Positivity ICML 2023
Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation JMLR 2022
Open Problem: Running time complexity of accelerated $\ell_1$-regularized PageRank COLT 2022
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NIPS 2021
Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression JMLR 2021
Elastic Graph Neural Networks ICML 2021
Statistical guarantees for local graph clustering JMLR 2021
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020
A Constraint-Based Approach to Learning and Explanation AAAI 2020
Transfer Learning via $\ell_1$ Regularization NIPS 2020
Efficient Greedy Coordinate Descent for Composite Problems AISTATS 2019
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019
High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression JMLR 2019
Partially Linear Additive Gaussian Graphical Models ICML 2019
Error bounds for sparse classifiers in high-dimensions AISTATS 2019
Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers JMLR 2018
Proximal SCOPE for Distributed Sparse Learning NIPS 2018
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models ICML 2018
A Screening Rule for l1-Regularized Ising Model Estimation NIPS 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NIPS 2017
A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training IJCAI 2017