@article{Calderon_Juba_Li_Ruan_2018, title={Conditional Linear Regression}, volume={32}, url={https://ojs.aaai.org/index.php/AAAI/article/view/12200}, DOI={10.1609/aaai.v32i1.12200}, abstractNote={ <p> Previous work in machine learning and statistics commonly focuses on building models that capture the vast majority of data, possibly ignoring a segment of the population as outliers. By contrast, we may be interested in finding a segment of the population for which we can find a linear rule capable of achieving more accurate predictions. We give an efficient algorithm for the conditional linear regression task, which is the joint task of identifying a significant segment of the population, described by a k-DNF, along with its linear regression fit. </p> }, number={1}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Calderon, Diego and Juba, Brendan and Li, Zongyi and Ruan, Lisa}, year={2018}, month={Apr.} }