Cristian Vega

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 provided by viewing the mod...