This is a preview. Log in through your library . Abstract We present a readily implementable algorithm for finding stationary points for locally Lipschitzian functions that are not necessarily convex ...

The Department of Mathematics & Statistics, Kennedy College of Sciences invites you to attend a colloquium talk. This is an in-person event, but Zoom participation is also possible. All are welcome.

This paper introduces a new class of quasi-Newton algorithms for unconstrained minimization in which no line search is necessary and the inverse Hessian approximations are positive definite. These ...

When Michael Bowling plays poker he does neither — instead he simply looks for a counterfactual regret minimisation algorithm that finds Nash equilibria. Professor Bowling has “solved” poker. A ...