The 53rd Statistical Machine Learning Seminar (online)

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

Admission Free

This is an online seminar. Please register at the following Google Forms. A Zoom link will be emailed to you.
Damien Garreau (Université Côte d'Azur)
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
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.