Continuous Optimization for p-adic Models

Julian Salazar, Dimitri Kanevsky, Matt Harvey +2

We present the first method for native, continuous gradient descent for machine learning models with $p$-adic parameters. Existing native optimizers are discrete, mostly combinator…