Invariant Risk Minimization: An Information Theoretic View
I finally got around to reading this new paper by Arjovsky et al. It debuted on Twitter with a big splash, being decribed as 'beautiful' and 'long awaited' 'gem of a paper'. It almost felt like a new superhero movie or Disney remake just came out.
The paper is, indeed, very well written, and describes a very elegant idea, a practical algorithm, some theory and lots of discussion around how this is related to various bits. Here, I will describe the main idea and then provide an information theoretic view on the same topic.
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Invariant Risk Minimization: An Information Theoretic View Invariant Risk Minimization: An Information Theoretic View inFERENCe posts on machine learning, statistics, opinions on things I'm reading in the space Home July 19, 2019 Invariant Risk Minimization: An Information Theoretic View I finally got around to reading this new paper by Arjovsky et al. It debuted on Twitter with a big splash, being decribed as 'beautiful' and 'long awaited' 'gem of a paper'. It almost felt like a new superhero movie or Disney remake just came out. Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz (2019) Invariant Risk Minimization The paper is, indeed, very well written, and describes a very elegant idea, a practical algorithm, some theory and lots of discussion around how this is related to various bits. Here, I will describe the main idea and then provide an information theoretic view on the same topic. Summary of the approach We would like to learn robust predictors that are based on invariant causal associations between variables, rather than spurious surface correlations that might Summary
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