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12/07/2022
Metric Elicitation; Moving from Theory to Practice
Metric Elicitation (ME) is a framework for eliciting classification metr...
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05/15/2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
As post hoc explanation methods are increasingly being leveraged to expl...
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08/09/2021
Extending LIME for Business Process Automation
AI business process applications automate high-stakes business decisions...
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06/24/2021
What will it take to generate fairness-preserving explanations?
In situations where explanations of black-box models may be useful, the ...
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06/18/2021
On the Connections between Counterfactual Explanations and Adversarial Examples
Counterfactual explanations and adversarial examples have emerged as cri...
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02/26/2021
Towards Robust and Reliable Algorithmic Recourse
As predictive models are increasingly being deployed in high-stakes deci...
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02/21/2021
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
As machine learning black boxes are increasingly being deployed in criti...
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10/23/2020
Online Semi-Supervised Learning with Bandit Feedback
We formulate a new problem at the intersectionof semi-supervised learnin...
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10/15/2020
Double-Linear Thompson Sampling for Context-Attentive Bandits
In this paper, we analyze and extend an online learning framework known ...
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07/13/2020
Contextual Bandit with Missing Rewards
We consider a novel variant of the contextual bandit problem (i.e., the ...
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06/22/2019