1. Neural network learning: Theoretical foundations;Anthony,1999
2. Universal approximation bounds for superpositions of a sigmoidal function;Barron;IEEE Transactions on Information theory,1993
3. On the theory of dynamic programming;Bellman;Proceedings of the National Academy of Sciences,1952
4. The modern mathematics of deep learning;Berner,2022
5. Local polynomial regression on unknown manifolds;Bickel,2007