Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination

Neural Information Processing Systems 

We study the task of noiseless linear regression under Gaussian covariates in the presence of additive oblivious contamination. Specifically, we are given i.i.d.

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