511 citations · 968 across the 39 of their papers we have counts for
3 papers · 1 filter
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0
Laurent Heirendt, Sylvain Arreckx, Thomas Pfau +52
COnstraint-Based Reconstruction and Analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental data and quantitative prediction of physico…
An inexact subsampled proximal Newton-type method for large-scale machine learning
Xuanqing Liu, Cho-Jui Hsieh, Jason D. Lee +1
We propose a fast proximal Newton-type algorithm for minimizing regularized finite sums that returns an -suboptimal point in $\tilde{\mathcal{O}}(d(n + \sqrt{κd})\log(\frac{1}ε)…
On conditional parity as a notion of non-discrimination in machine learning
Ya'acov Ritov, Yuekai Sun, Ruofei Zhao
We identify conditional parity as a general notion of non-discrimination in machine learning. In fact, several recently proposed notions of non-discrimination, including a few coun…