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Optimization by Reparametrization: Time-Warped Mirror Flows with Singular Geometry
Solving data-driven problems requires defining complex models and fitting them to data, neural networks being a motivating example. The fitting procedure can be seen as an optimization problem, which is often non-convex, and hence optimization guarantees are hard to derive. An opportunity is provide
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