Search Results for author: Mario Figueiredo

Found 4 papers, 2 papers with code

LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING

1 code implementation ICLR 2018 Dejiao Zhang, Haozhu Wang, Mario Figueiredo, Laura Balzano

This has motivated a large body of work to reduce the complexity of the neural network by using sparsity-inducing regularizers.

Adaptive Consensus ADMM for Distributed Optimization

no code implementations ICML 2017 Zheng Xu, Gavin Taylor, Hao Li, Mario Figueiredo, Xiaoming Yuan, Tom Goldstein

The alternating direction method of multipliers (ADMM) is commonly used for distributed model fitting problems, but its performance and reliability depend strongly on user-defined penalty parameters.

Distributed Optimization

An Empirical Study of ADMM for Nonconvex Problems

no code implementations10 Dec 2016 Zheng Xu, Soham De, Mario Figueiredo, Christoph Studer, Tom Goldstein

The alternating direction method of multipliers (ADMM) is a common optimization tool for solving constrained and non-differentiable problems.

Image Denoising regression +1

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