Let us consider support vector regression: min wRd,bR 1 2 kwk 2 2 + C Xn i=1 max{|yi (w>xi + b)| , 0}, (1) Gautam Kamath (..h@uwaterloo.ca) 2023 University of Waterloo CS480/680 2023 Fall where xi Rd , yi R, and kwk2 := qPd j=1 w2 j is the Euclidean norm. The above expression is the loss function, the error is simply the latter term C Pn i=1 max{|yi (w>xi + b)| , 0}. 1. (2 pts) Derive the Lagrangian dual of the support vector regression loss function (1). Please include intermediate steps so that you can get partial credit