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Robust and Stable Black Box Explanations
As machine learning black boxes are increasingly being deployed in real-...
11/12/2020 ∙ by Himabindu Lakkaraju, et al. ∙
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When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
As machine learning (ML) models are increasingly being employed to assis...
11/12/2020 ∙ by Sean McGrath, et al. ∙
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Ensuring Actionable Recourse via Adversarial Training
As machine learning models are increasingly deployed in high-stakes doma...
11/12/2020 ∙ by Alexis Ross, et al. ∙
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Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Domains where supervised models are deployed often come with task-specif...
10/21/2020 ∙ by Wanqian Yang, et al. ∙
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Interpretable and Interactive Summaries of Actionable Recourses
As predictive models are increasingly being deployed in high-stakes deci...
09/15/2020 ∙ by Kaivalya Rawal, et al. ∙
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How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations
As local explanations of black box models are increasingly being employe...
08/11/2020 ∙ by Dylan Slack, et al. ∙
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Fair Influence Maximization: A Welfare Optimization Approach
Several social interventions (e.g., suicide and HIV prevention) leverage...
06/14/2020 ∙ by Aida Rahmattalabi, et al. ∙
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"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations
As machine learning black boxes are increasingly being deployed in criti...
11/15/2019 ∙ by Himabindu Lakkaraju, et al. ∙
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How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods
As machine learning black boxes are increasingly being deployed in domai...
11/06/2019 ∙ by Dylan Slack, et al. ∙
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Interpretable & Explorable Approximations of Black Box Models
We propose Black Box Explanations through Transparent Approximations (BE...
07/04/2017 ∙ by Himabindu Lakkaraju, et al. ∙
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Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration
Predictive models deployed in the real world may assign incorrect labels...
10/28/2016 ∙ by Himabindu Lakkaraju, et al. ∙
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Learning Cost-Effective Treatment Regimes using Markov Decision Processes
Decision makers, such as doctors and judges, make crucial decisions such...
10/21/2016 ∙ by Himabindu Lakkaraju, et al. ∙
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