Spurious Correlations and Where to Find Them

• URL: http://arxiv.org/abs/2308.11043v1
• Date: Mon, 21 Aug 2023 21:06:36 GMT
• Title: Spurious Correlations and Where to Find Them
• Authors: Gautam Sreekumar and Vishnu Naresh Boddeti
• Abstract summary: Spurious correlations occur when a model learns unreliable features from the data. We collect some of the commonly studied hypotheses behind the occurrence of spurious correlations. We investigate their influence on standard ERM baselines using synthetic datasets generated from causal graphs.
• Score: 17.1264393170134
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Spurious correlations occur when a model learns unreliable features from the data and are a well-known drawback of data-driven learning. Although there are several algorithms proposed to mitigate it, we are yet to jointly derive the indicators of spurious correlations. As a result, the solutions built upon standalone hypotheses fail to beat simple ERM baselines. We collect some of the commonly studied hypotheses behind the occurrence of spurious correlations and investigate their influence on standard ERM baselines using synthetic datasets generated from causal graphs. Subsequently, we observe patterns connecting these hypotheses and model design choices.

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