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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

2 votes

Concentration of matrix norms under random projection.

In general, you can apply a Gaussian concentration inequality for Lipschitz functions, see for example Proposition 4 below https://terrytao.wordpress.com/2009/06/09/talagrands-concentration-inequality …
zouzias's user avatar
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2 votes

Random products of projections: bounds on convergence rate?

Following Suvrit's post, you can also take a look at http://arxiv.org/abs/1205.5770 (Algorithm 3). It handles the case where the set of projectors have co-dimension one. By the way, thanks for the li …
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  • 201