Utku Tarık Bilgiç

Integrating Data Cleaning and Robustification: A Study on Linear Regression

A general framework is proposed that integrates both optimistic and pessimistic optimization approaches in solving the regression problem to address outlier cleaning and robustification in a unified fashion and develops solution methods that can be applied to handle data sets of different scales.