Orateur
Marc Schoenauer
(INRIA)
Description
Optimisation is concerned with finding the arguments that result in
the largest (or lowest) value of some objective function. However,
whereas the range and scale of possible values of the objective
function is often arbitrary, the performance of optimisation
algorithms very often heavily depends on the chosen
coordinates. Comparison-based methods can hence get an edge over
value-dependent approaches in many situations. Three examples (time
permitting) will illustrate such situations: stochastic black-box
optimisation with surrogate models; algorithm selection using
Collaborative Filtering; 'Programming by Feedback', or how
possibly-dummy users could actually improve their pet robot's behavior.
Auteur principal
Marc Schoenauer
(INRIA)