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Interpretable and Fair Boolean Rule Sets via Column Generation


Nov 16, 2021
Connor Lawless, Sanjeeb Dash, Oktay Gunluk, Dennis Wei

* arXiv admin note: substantial text overlap with arXiv:2107.01325, arXiv:1805.09901 

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LPRules: Rule Induction in Knowledge Graphs Using Linear Programming


Oct 15, 2021
Sanjeeb Dash, Joao Goncalves


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Integration of Data and Theory for Accelerated Derivable Symbolic Discovery


Sep 03, 2021
Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler Josephson, Joao Goncalves, Kenneth Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh


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Integer Programming for Causal Structure Learning in the Presence of Latent Variables


Feb 05, 2021
Rui Chen, Sanjeeb Dash, Tian Gao


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Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping


Jun 24, 2020
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Gunluk


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Symbolic Regression using Mixed-Integer Nonlinear Optimization


Jun 11, 2020
Vernon Austel, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves, Lior Horesh, Tyler Josephson, Nimrod Megiddo


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Generalized Linear Rule Models


Jun 05, 2019
Dennis Wei, Sanjeeb Dash, Tian Gao, Oktay Günlük

* Published in the Proceedings of the 36th International Conference on Machine Learning (ICML), PMLR 97:6687-6696, 2019. 17 pages, 7 figures 

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Boolean Decision Rules via Column Generation


May 24, 2018
Sanjeeb Dash, Oktay Günlük, Dennis Wei


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Globally Optimal Symbolic Regression


Nov 15, 2017
Vernon Austel, Sanjeeb Dash, Oktay Gunluk, Lior Horesh, Leo Liberti, Giacomo Nannicini, Baruch Schieber

* Presented at NIPS 2017 Symposium on Interpretable Machine Learning 

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