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2 votes
1 answer
222 views

How to show that minimizing the epsilon-insensitive loss is equivalent to a quadratic program with inequality constraints?

This question is about an optimization problem that arises in support vector regression (SVR). Suppose you have $N$ pairs $(\vec{x}_n, y_n)$ as data and would like to find a vector of weights $\vec w \...
ForceBru's user avatar
  • 123
3 votes
1 answer
217 views

Translate standard weighted least square regression to quadratic programming

Sorry if this is really easy for you gurus. I'm trying to derive the reformulation of a weighted least square regression to a quadratic programming form. I understand there is a closed form solution ...
inf's user avatar
  • 129
16 votes
3 answers
980 views

How to model nonlinear regression?

As part of my research in statistics, I recently stumbled upon this paper1 which provides an operational perspective into linear models. In simple linear regression, quadratic programming can be used ...
TheSimpliFire's user avatar
  • 5,462