Al-Naffouri, TYSayed, Ali H.2017-12-192017-12-192017-12-192000https://infoscience.epfl.ch/handle/20.500.14299/143306This paper considers the problem of adaptive filtering in the presence of uncertainties in the regression data. A recursive procedure is derived that is based on solving local optimization problems that attemps to alleviate the worst-case effect of data uncertainties on filter performance. The resulting procedure turns out to have similarities with leakage-based adaptive filters.text::conference output::conference proceedings::conference paper