Information Theoretic Limits for Linear Prediction with Graph-Structured Sparsity

26 Jan 2017Adarsh BarikJean HonorioMohit Tawarmalani

We analyze the necessary number of samples for sparse vector recovery in a noisy linear prediction setup. This model includes problems such as linear regression and classification... (read more)

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