October 23, 2020 – Zach Davis

Learning and controlling dynamic systems We live and act in a messy world. Scientists’ best models of real-world causal processes typically involve not just stochasticity, but real-valued variables, complex functional forms, delays, dose-dependence, and feedback leading to rich and often non-linear emergent dynamics. How do we learn the causal structure of the world, given these difficulties? In […]

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