Topic: subgradient Goto Github
Some thing interesting about subgradient
Some thing interesting about subgradient
subgradient,Implementation of Convex Optimization algorithms
User: bhushan23
subgradient,
Organization: computevision
subgradient,In this work, we consider learning sparse models in large scale setting, where the number of samples and the feature dimension can grow as large as millions or billions. Two immediate issues occur under such challenging scenarios: (i) com- putational cost; (ii) memory overhead.
User: dhingratul
Home Page: https://www.dropbox.com/s/ynz1o3hucqw3wzq/Sparse.pdf?dl=0
subgradient,Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates
User: eliafantini
subgradient,A reproduction of Learning Ef๏ฌcient Convolutional Networks through Network Slimming
User: estherbear
subgradient,Subgradient methods for Multicommodity Network Design
User: frangio68
subgradient,Solving quadratic programming problem using subgradient optimization library
User: james34602
subgradient,Non-linear topology identification using Deep Learning. Sparsity (lasso) is enforced in the sensor connections. The non-convex and non-differentiable function is solved using sub-gradient descent algorithm.
User: kevinroy007
subgradient,Minimax NMF
User: marrintp
subgradient,Dual-Based Procedure and Subgradient method implementations
User: matt-merman
subgradient,Convex Optimization Algorithms
User: raghunanj
subgradient,R package for SGD inference
Organization: sgdinference-lab
subgradient,MCPy is a python library for McCormick relaxations with sub-gradients. This is quite useful for prototyping and testing new convex relaxation and global optimization algorithms.
User: shaoyuanxun
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