Exploring the LASSO as a Pruning Method (original) (raw)

Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks

Gordon Erlebacher

arXiv (Cornell University), 2018

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Group L1/2 Regularization for Pruning Hidden Layer Nodes of Feedforward Neural Networks

habtamu alemu

IEEE Access, 2019

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Gradient LASSO for feature selection

Jinseog Kim

Twenty-first international conference on Machine learning - ICML '04, 2004

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Preliminary test and Stein-type shrinkage LASSO-based estimators

Mina Norouzirad

2018

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Pruning algorithms of neural networks — a comparative study

Gethsiyal Augasta

Open Computer Science, 2013

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A Gradient-Based Optimization Algorithm for LASSO

Jinseog Kim

Journal of Computational and Graphical Statistics, 2008

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A neural network pruning approach based on compressive sampling

lam phung

2009

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Weight Pruning via Adaptive Sparsity Loss

Petros Maragos

ArXiv, 2020

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The Effect of the Second Stage Estimator on Model Performance in Post-LASSO Method

Omer Ozbilen

Fırat University Turkish journal of science & technology, 2023

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Novel Pruning Techniques in Convolutional-Neural Networks

Hritik Dahiya

International Journal of Engineering and Advanced Technology, 2020

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The Iso-regularization Descent Algorithm for the LASSO

Manuel Loth

Lecture Notes in Computer Science, 2010

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A Modified Principal Component Technique Based on the LASSO

Mudassir Uddin

Journal of Computational and Graphical Statistics, 2003

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Solving the Elastic Net and Lasso Regression Problems

Jean Gallier

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The Trimmed Lasso: Sparsity and Robustness

Dimitris Bertsimas

arXiv (Cornell University), 2017

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Restricted LASSO and Double Shrinking

Mina Norouzirad

arXiv: Statistics Theory, 2015

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On the Adversarial Robustness of LASSO Based Feature Selection

Fuwei Li

IEEE Transactions on Signal Processing, 2021

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Pruning neural networks by minimization of the estimated variance

Peter Morgan

European Journal of Economic and Social Systems, 2000

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Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks

Takio Kurita

2020 25th International Conference on Pattern Recognition (ICPR), 2021

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Direct Zero-Norm Minimization for Neural Network Pruning and Training

George Magoulas

Communications in Computer and Information Science, 2012

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Group sparse regularization for deep neural networks

Aurelio Uncini

Neurocomputing, 2017

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Design and regularization of neural networks: the optimal use of a validation set

Mattias Ohlsson

1996

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High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso

Wittawat Jitkrittum

arXiv preprint arXiv: …, 2012

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Strong rules for discarding predictors in lasso-type problems

Jerome Friedman

2012

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On the Compression of Neural Networks Using 𝓁0-Norm Regularization and Weight Pruning

Rui Seara

ArXiv, 2021

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A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization

SILVIA CATERINE MORENO VILLA

Journal of Complexity, 2011

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The LASSO risk: asymptotic results and real world examples

Andrea Montanari

2010

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IJERT-Studying and Analysing the Effect of Weight Norm Penalties and Dropout as Regularizers for Small Convolutional Neural Networks

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2021

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A Component Lasso

Nadine Hussami

2013

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A study of error variance estimation in lasso regression

Jerome Friedman

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Comparative Study of CUDA GPU Implementations in Python With the Fast Iterative Shrinkage-Thresholding Algorithm for LASSO

JaeOh Kim

IEEE Access

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Lockout: Sparse Regularization of Neural Networks

Yannet Interian

2021

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