no code implementations • 18 May 2020 • David Kinney, David Watson
We propose a new technique, pragmatic causal feature learning (PCFL), which extends the original CFL algorithm in useful and intuitive ways.
no code implementations • 28 Oct 2020 • David H. Wolpert, David Kinney
We present a computational model of mathematical reasoning according to which mathematics is a fundamentally stochastic process.
no code implementations • 18 Sep 2023 • Donald Martin, Jr., David Kinney
Specifically, we use simulated data to show that training a neural network with a data representation that makes explicit the invariant structural causal features of the data generating process of an epidemic system improves out-of-distribution (OOD) generalization performance on a classification task as compared to a more naive approach to data representation.