Variational Analysis and Optimisation Season 3 (Past talk)

This pages contains links to past talks from the Variational Analysis and Optimisation Webinar.

Season 1 (June – November 2020)

Date and Time Speaker Title Video/Slides
December 1, 2021
17:00 AEST
David Yost
(Federation University Australia)
Minimising the number of faces of a class of polytopes [Video] on Youtube
[Slides]
December 1, 2021
11:00 AEST
Fred Roosta-Khorasani
(The University of Queensland)
A Newton-MR Algorithm with Complexity Guarantee for Non-Convex Problemsverting exhausters and coexhausters [Video] on Youtube
[Slides]
November 17 th, 2021
17:00 AEST
Majid Abbasov
(St Petersburg University)
Converting exhausters and coexhausters [Video] on Youtube
November 10 th, 2021
11:00 AEST
Jane Ye
(UVic, Canada)
Difference of convex algorithms for bilevel programs with applications in hyperparameter selection [Video] on Youtube
November 3 rd, 2021
17:00 AEST
Nadezda Sukhorukova
(Swinburne)
Rational approximation and its role in different branches of mathematics and applications [Video] on Youtube
[Slides]
October 27 th, 2021
17:00 AEST
Nghia Tran
(Oakland University)
Sharp and strong minima for robust recovery [Video] on Youtube
[Slides]
October 20 th, 2021
17:00 AEST
Sidney Morris
(FedUni & La Trobe)
Tweaking Ramanujan’s Approximation of n! [Video] on Youtube
[Slides]
October 13 th, 2021
17:00 AEST
Rubén Campoy
(University of Valencia)
A product space reformulation with reduced dimension [Video] on Youtube
[Slides]
October 6 th, 2021
17:00 AEST
Dominikus Noll
(IMT)
Alternating projections with applications to Gerchberg-Saxton error reduction [Video] on Youtube
[Slides]
September 29 th, 2021
11:00 AEST
Quoc Tran-Dinh
(UNC-Chapel Hill)
Randomized Douglas-Rachford Splitting Algorithms for Federated Composite Optimization [Video] on Youtube
[Slides]
September 22 nd, 2021
17:00 AEST
Maxim Dolgopolik
(IPME RAS)
DC Semidefinite Programming [Video] on Youtube
[Slides]
September 15 th, 2021
11:00 AEST
Walaa Moursi
(UWaterloo)
The Douglas-Rachford algorithm for solving possibly inconsistent optimization problems [Video] on Youtube