Anna P. Meyer

2 accepted papers

2023

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

Anna P. Meyer, Dan Ley, Suraj Srinivas, Himabindu Lakkaraju

UAI 2023poster

The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models are periodically retrained to…

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2021

Certifying Robustness to Programmable Data Bias in Decision Trees

Anna P. Meyer, Aws Albarghouthi, Loris D'Antoni

NeurIPS 2021poster

Datasets can be biased due to societal inequities, human biases, under-representation of minorities, etc. Our goal is to certify that models produced by a learning algorithm are pointwise-robust to dataset biases. This is a challenging problem: it entails learning models for a large, or even infinit…

Cited by 21 Source ↗PDF ↗Scholar ↗