Sohini Upadhyay | DeepAI

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∙ 12/07/2022

Metric Elicitation; Moving from Theory to Practice

Metric Elicitation (ME) is a framework for eliciting classification metr...

0 Safinah Ali, et al. ∙

∙ 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...

0 Jessica Dai, et al. ∙

∙ 08/09/2021

Extending LIME for Business Process Automation

AI business process applications automate high-stakes business decisions...

0 Sohini Upadhyay, et al. ∙

∙ 06/24/2021

What will it take to generate fairness-preserving explanations?

In situations where explanations of black-box models may be useful, the ...

0 Jessica Dai, et al. ∙

∙ 06/18/2021

On the Connections between Counterfactual Explanations and Adversarial Examples

Counterfactual explanations and adversarial examples have emerged as cri...

16 Martin Pawelczyk, et al. ∙

∙ 02/26/2021

Towards Robust and Reliable Algorithmic Recourse

As predictive models are increasingly being deployed in high-stakes deci...

0 Sohini Upadhyay, et al. ∙

∙ 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...

10 Sushant Agarwal, et al. ∙

∙ 10/23/2020

Online Semi-Supervised Learning with Bandit Feedback

We formulate a new problem at the intersectionof semi-supervised learnin...

5 Sohini Upadhyay, et al. ∙

∙ 10/15/2020

Double-Linear Thompson Sampling for Context-Attentive Bandits

In this paper, we analyze and extend an online learning framework known ...

0 Djallel Bouneffouf, et al. ∙

∙ 07/13/2020

Contextual Bandit with Missing Rewards

We consider a novel variant of the contextual bandit problem (i.e., the ...

0 Djallel Bouneffouf, et al. ∙

∙ 06/22/2019

A Bandit Approach to Posterior Dialog Orchestration Under a Budget

Building multi-domain AI agents is a challenging task and an open proble...

0 Sohini Upadhyay, et al. ∙

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