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TREX: Tree-Ensemble Representer-Point Explanations


Sep 24, 2020
Jonathan Brophy, Daniel Lowd

* 11 pages, 7 figures, and 4 tables. Submitted to AAAI 2021 

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DART: Data Addition and Removal Trees


Sep 11, 2020
Jonathan Brophy, Daniel Lowd

* 16 pages, 8 figures, 4 tables, and 3 algorithms. Submitted to AAAI 2021 

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Learning from Positive and Unlabeled Data with Arbitrary Positive Shift


Feb 24, 2020
Zayd Hammoudeh, Daniel Lowd


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EGGS: A Flexible Approach to Relational Modeling of Social Network Spam


Jan 28, 2020
Jonathan Brophy, Daniel Lowd

* 10 pages, 6 figures, 5 tables. STARAI 2020 

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On Adversarial Examples for Character-Level Neural Machine Translation


Jun 23, 2018
Javid Ebrahimi, Daniel Lowd, Dejing Dou

* COLING 2018 

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HotFlip: White-Box Adversarial Examples for Text Classification


May 24, 2018
Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou

* ACL 2018 

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Neural-Symbolic Learning and Reasoning: A Survey and Interpretation


Nov 10, 2017
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha

* 58 pages, work in progress 

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A Probabilistic Approach to Knowledge Translation


Jul 12, 2015
Shangpu Jiang, Daniel Lowd, Dejing Dou


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Ontology Matching with Knowledge Rules


Jul 11, 2015
Shangpu Jiang, Daniel Lowd, Dejing Dou


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The Libra Toolkit for Probabilistic Models


Apr 01, 2015
Daniel Lowd, Amirmohammad Rooshenas


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Closed-Form Learning of Markov Networks from Dependency Networks


Oct 16, 2012
Daniel Lowd

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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Learning Arithmetic Circuits


Jun 13, 2012
Daniel Lowd, Pedro Domingos

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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