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02/16/2023
Assisting Human Decisions in Document Matching
Many practical applications, ranging from paper-reviewer assignment in p...
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12/12/2021
Bayesian Persuasion for Algorithmic Recourse
When subjected to automated decision-making, decision subjects may strat...
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05/13/2021
Sanity Simulations for Saliency Methods
Saliency methods are a popular class of feature attribution tools that a...
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03/10/2021
Towards Connecting Use Cases and Methods in Interpretable Machine Learning
Despite increasing interest in the field of Interpretable Machine Learni...
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04/07/2020
Model-Agnostic Characterization of Fairness Trade-offs
There exist several inherent trade-offs in designing a fair model, such ...
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02/07/2020
Efficient Topological Layer based on Persistent Landscapes
We propose a novel topological layer for general deep learning models ba...
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12/02/2019
Diagnostic Curves for Black Box Models
In safety-critical applications of machine learning, it is often necessa...
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11/23/2018
Representer Point Selection for Explaining Deep Neural Networks
We propose to explain the predictions of a deep neural network, by point...
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09/23/2016
