A Voronoi-driven diffusion-based extension of Nadaraya-Watson regression on manifolds that suppresses high frequencies and approximates total-variation minimization for compressed sensing with identity operator.
Reinforcement learning with dynamic convex risk measures.Mathe- matical Finance, 34(2):557–587, 2024
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A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
A Voronoi-driven diffusion-based extension of Nadaraya-Watson regression on manifolds that suppresses high frequencies and approximates total-variation minimization for compressed sensing with identity operator.