The Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities by J. Michael Steele

By D. Garling. The American mathematical monthly, 2005

435 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a039592b7a86ce1d928aa12fa3d475f35c2a6e77

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1. Jiang Chao
2. Zhiliang Huang
3. Aniket Anand Deshmukh
4. Ü. Dogan
5. Bingjie Ni
6. Clayton D. Scott
7. Ohad Shamir
8. Adrian E. Roitberg

Citations in the corpus

• Multi-Task Learning for Contextual Bandits (2017, methodology): “[Arithmetic Mean-Geometric Mean Inequality [23]] For every sequence of nonnegative real numbers a1, a2, .”
• Exponential Convergence Time of Gradient Descent for One-Dimensional Deep Linear Neural Networks (2018, background): “This follows from the superadditivity of the geometric mean (see Steele [2004, Exercise 2.11]) Lemma 5.”
• Bounds on the Jensen Gap, and Implications for Mean-Concentrated Distributions (2017, result): “[17]; commonly used results in information theory, e.”
• Discussions on non-probabilistic convex modelling for uncertain problems (2017, background): “Lemma 4 can be easily proved by the well-known Cauchy-Schwarz inequality [43].”