The 53rd Statistical Machine Learning Seminar (online)

【Date & Time】
Jan. 6, 2023 (Fri) 13:30 - 15:00

Admission Free

【Place】
Zoom
This is an online seminar. Please register at the following Google Forms. A Zoom link will be emailed to you.
https://forms.gle/u3uhLcY8fQqCYMrd8
【Speaker】
Damien Garreau (Université Côte d'Azur)
【Title】
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
【Abstract】
Anchors [Ribeiro et al. (2018)] is a post-hoc, rule-based interpretability method. For text data, it proposes to explain a decision by highlighting a small set of words (an anchor) such that the model to explain has similar outputs when they are present in a document. In this talk, I will present the first theoretical analysis of Anchors, considering that the search for the best anchor is exhaustive. I will show how one can use this analysis to gain insights on the behavior of Anchors on simple models, including elementary if-then rules and linear classifiers.
【Preprint:】
https://arxiv.org/abs/2205.13789
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