Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation
ACM Transactions on Knowledge Discovery from Data (TKDD), pp. 28-22, 2019.
Robust regression adaptive search adversarial data corruption discrete optimization hard thresholding
The presence of data noise and corruptions has recently invoked increasing attention on robust least-squares regression (RLSR), which addresses this fundamental problem that learns reliable regression coefficients when response variables can be arbitrarily corrupted. Until now, the following important challenges could not be handled concu...More
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