Model-based feature selection for neural networks: A mixed-integer programming approach

20 February 2023

Papers citing "Model-based feature selection for neural networks: A mixed-integer programming approach"

5 / 5 papers shown

Title
A constrained optimization approach to improve robustness of neural networks Shudian Zhao Jan Kronqvist AAML 16 0 0 18 Sep 2024
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 86 32 0 29 Apr 2023
P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints Jan Kronqvist Ruth Misener Calvin Tsay 41 7 0 10 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,597 0 03 Jul 2012