Talk
in
Workshop: I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning

Invited Talk: Andrew Gelman - It Doesn’t Work, But The Alternative Is Even Worse: Living With Approximate Computation

Andrew Gelman

2020 Talk
in
Workshop: I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning

Abstract

We can’t fit the models we want to fit because it takes too long to fit them on our computer. Also, we don’t know what models we want to fit until we try a few. I share some stories of struggles with data-partitioning and parameter-partitioning algorithms, what kinda worked and what didn’t.

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