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econ.TH2026
Equilibrium Information Aggregation under Machine Learning
Andrew Ellis, Michele Piccione, Shengxing Zhang
We introduce a framework for studying the equilibrium effects of machine learning. Agents process information using a Chow and Liu (1968) tree, a widely-used machine learning proce…
econ.TH2026
Limited belief propagation and contingent thinking
Andrew Ellis, Ran Spiegler
An agent updates her beliefs over a set of variables after observing some of them. We provide a representation of updated beliefs that captures limited propagation of her observati…