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math.ST2020★ 8 cited
An efficient Averaged Stochastic Gauss-Newton algorithm for estimating parameters of non linear regressions models
Peggy Cénac, Antoine Godichon-Baggioni, Bruno Portier
Non linear regression models are a standard tool for modeling real phenomena, with several applications in machine learning, ecology, econometry... Estimating the parameters of the…
math.ST2011★ 104 cited
Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm
Hervé Cardot, Peggy Cénac, Pierre-André Zitt
With the progress of measurement apparatus and the development of automatic sensors it is not unusual anymore to get thousands of samples of observations taking values in high dime…