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Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption
We propose an online algorithm to estimate the sparse inverse covariance (i. e., precision) matrix despite this corruption.
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption
We study robust mean estimation in an online and distributed scenario in the presence of adversarial data attacks.
Distributed Estimation of Sparse Inverse Covariances
Learning the relationships between various entities from time-series data is essential in many applications.
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