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CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale
Algorithms are increasingly used to automate large-scale decision-making processes, e.g., online platforms that make instant decisions …
Ayan Majumdar, Isabel Valera
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CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale
Do Invariances in Deep Neural Networks Align with Human Perception?
An evaluation criterion for safe and trustworthy deep learning is how well the invariances captured by representations of deep neural …
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
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Do Invariances in Deep Neural Networks Align with Human Perception?
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Decision making algorithms, in practice, are often trained on data that exhibits a variety of biases. Decision-makers often aim to take …
Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera
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Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making