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08/23/2023
SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies
With the growing use of machine learning (ML) models in critical domains...
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07/13/2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Explainable Artificial Intelligence (XAI) has received widespread intere...
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04/12/2023
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity
Cross-task generalization is a significant outcome that defines mastery ...
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10/12/2022
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations
Counterfactual explanations have substantially increased in popularity i...
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10/10/2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts
Three key properties that are desired of trustworthy machine learning mo...
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06/27/2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
Learning effective reinforcement learning (RL) policies to solve real-wo...
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10/13/2020
FaiR-N: Fair and Robust Neural Networks for Structured Data
Fairness in machine learning is crucial when individuals are subject to ...
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09/13/2019
Explainable Machine Learning in Deployment
Explainable machine learning seeks to provide various stakeholders with ...
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05/20/2019
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models
As artificial intelligence plays an increasingly important role in our s...
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01/02/2019
