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Machine Guides, Human Supervises: Interactive Learning with Global Explanations
We introduce explanatory guided learning (XGL), a novel interactive lear...
09/21/2020 ∙ by Teodora Popordanoska, et al. ∙
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Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning
Recent work has demonstrated the promise of combining local explanations...
07/20/2020 ∙ by Teodora Popordanoska, et al. ∙
32
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Did We Get It Right? Predicting Query Performance in E-commerce Search
In this paper, we address the problem of evaluating whether results serv...
08/01/2018 ∙ by Rohan Kumar, et al. ∙
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Automating Personnel Rostering by Learning Constraints Using Tensors
Many problems in operations research require that constraints be specifi...
05/29/2018 ∙ by Mohit Kumar, et al. ∙
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Decomposition Strategies for Constructive Preference Elicitation
We tackle the problem of constructive preference elicitation, that is th...
11/22/2017 ∙ by Paolo Dragone, et al. ∙
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FairJudge: Trustworthy User Prediction in Rating Platforms
Rating platforms enable large-scale collection of user opinion about ite...
03/30/2017 ∙ by Srijan Kumar, et al. ∙
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BIRDNEST: Bayesian Inference for Ratings-Fraud Detection
Review fraud is a pervasive problem in online commerce, in which fraudul...
11/19/2015 ∙ by Bryan Hooi, et al. ∙
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