Timeline for Are Lagrange multipliers of regularization terms learned or set?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 18, 2020 at 9:53 | vote | accept | chichi | ||
| Apr 18, 2020 at 7:41 | comment | added | PAF | Yes, this is correct, the coefficient needs to be set. | |
| Apr 18, 2020 at 5:44 | comment | added | chichi | Thanks for the answer. I just realised that as this is a minimization problem, the bigger the lambda is, the smaller the parameters tend to be. So, the magnitude of the Lagrange multiplier determines how strict the constraint is. I just felt strange that why is the Lagrange multiplier not learned as in the subject of optimization the Lagrange multiplier is not specified a priori when converting the constrained optimisation problem to a Lagrange multiplier format, correct? | |
| Apr 17, 2020 at 16:14 | history | answered | PAF | CC BY-SA 4.0 |