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Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints


Aug 08, 2022
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien

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* Code available at https://github.com/gallego-posada/constrained_sparsity 

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L$_0$onie: Compressing COINs with L$_0$-constraints


Jul 08, 2022
Juan Ramirez, Jose Gallego-Posada

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* Presented at the Sparsity in Neural Networks (SNN) Workshop 2022. Code available at https://github.com/juan43ramirez/l0onie 

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Covariance Estimation from Compressive Data Partitions using a Projected Gradient-based Algorithm


Jan 11, 2021
Jonathan Monsalve, Juan Ramirez, Iñaki Esnaola, Henry Arguello

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* submitted to IEEE Transactions on Image Processing 

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