1. Pattern recognition and machine learning (information science and statistics);Bishop,2006
2. Optimal approximation with sparsely connected deep neural networks;Bölcskei,2017
3. Minimax estimation of linear functionals over nonconvex parameter spaces;Cai;The Annals of Statistics,2004
4. An introduction to compressive sampling [a sensing/sampling paradigm that goes against the common knowledge in data acquisition];Candès;IEEE Signal Processing Magazine,2008
5. Approximation by superpositions of a sigmoidal function;Cybenko;Mathematics of Control, Signals, and Systems,1989