Error-Robust Learning

Deviations from the clean assumptions (or assumed hypotheses) and/or presence of outlying data instances (or outliers), which are referred to as error, are very likely in data due to inevitable sensor failures or human factors. Error could exhibit in features and/or labels. Unfortunately, even a sma... View More