Optimization Problems for Machine Learning: A Survey

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Optimization Problems for Machine Learning: A Survey

16 January 2019

Claudio Gambella

Joe Naoum-Sawaya

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Papers citing "Optimization Problems for Machine Learning: A Survey"

12 / 62 papers shown

Title
Advances in Learning Bayesian Networks of Bounded Treewidth S. Nie Denis Deratani Mauá Cassio Polpo de Campos Q. Ji TPM 175 35 0 05 Jun 2014
Sparse principal component regression with adaptive loading Shuichi Kawano Hironori Fujisawa Toyoyuki Takada T. Shiroishi 91 28 0 26 Feb 2014
From Predictive to Prescriptive Analytics Dimitris Bertsimas Nathan Kallus 157 547 0 22 Feb 2014
On the Number of Linear Regions of Deep Neural Networks Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio 98 1,256 0 08 Feb 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 295 14,978 1 21 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 306 6,290 0 16 Dec 2013
Advances in Bayesian Network Learning using Integer Programming M. Bartlett James Cussens 125 101 0 26 Sep 2013
Machine Teaching for Bayesian Learners in the Exponential Family Xiaojin Zhu 91 89 0 20 Jun 2013
Maxout Networks Ian Goodfellow David Warde-Farley M. Berk Mirza Aaron Courville Yoshua Bengio OOD 283 2,179 0 18 Feb 2013
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 134 1,595 0 27 Jun 2012
Bayesian network learning with cutting planes James Cussens 69 259 0 14 Feb 2012
Building high-level features using large scale unsupervised learning Quoc V. Le MarcÁurelio Ranzato R. Monga M. Devin Kai Chen G. Corrado J. Dean A. Ng SSL OffRL CVBM 146 2,272 0 29 Dec 2011