A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
S.V.N. Vishwanathan and Nicol N. Schraudolph and Jin Yu and Simon Gunter

A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning.pdf 1.32MB
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@article{11:39,author={Jin Yu and S.V.N. Vishwanathan and Simon Gunter and Nicol N. Schraudolph}, Title={A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning},journal={Journal of Machine Learning Research},volume={11}, url={http://www.jmlr.org/papers/volume11/yu10a/yu10a.pdf}}
Citation:
Vishwanathan, S., Schraudolph, N. N., Yu, J., & Gunter, S.. (2014). A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning [Data set]. Academic Torrents. https://academictorrents.com/details/81d30aec29d668644d9c0b4e64bc41bdefa2d929
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