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We present Epsilon, a system for general convex programming using fast linear and proximal operators.
Fonctions convexes duales et points proximaux dans un espace hilbertien
Jean-Jacques Moreau · 1962
Earlier work this paper cites.
Nonlinear total variation based noise removal algorithms
Leonid I Rudin, Stanley Osher, and Emad Fatemi · 1992
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Robert Tibshirani · 1996
Earlier work this paper cites.
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Florian A Potra and Stephen J Wright · 2000
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Stephen Boyd and Lieven Vandenberghe · 2004
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YALMIP: A toolbox for modeling and optimization in matlab
Johan Löfberg · 2004
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Sparsity and smoothness via the fused lasso
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Disciplined convex programming
Michael Grant, Stephen Boyd, and Yinyu Ye · 2006
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Efficient projections onto the l 1-ball for learning in high dimensions
John Duchi, Shai Shalev-Shwartz, Yoram Singer, and Tushar Chandra · 2008
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CVX: Matlab software for disciplined convex programming, 2008
Michael Grant, Stephen Boyd, and Yinyu Ye · 2008
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Distributed optimization and statistical learning via the alternating direction method of multipliers
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Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, and Stephen Boyd · 2014
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Efficient generalized fused lasso and its application to the diagnosis of alzheimer’s disease
Bo Xin, Yoshinobu Kawahara, Yizhou Wang, and Wen Gao · 2014
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High-dimensional longitudinal classification with the multinomial fused lasso
Samrachana Adhikari, Fabrizio Lecci, James T Becker, Brian W Junker, Lewis H Kuller, Oscar L Lopez, and Ryan J Tibshirani · 2015
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Steven Diamond and Stephen Boyd · 2015
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Steven Diamond and Stephen Boyd · 2015
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Convergence rate analysis of several splitting schemes
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