Optimization in Oslo

OiO seminar archive

A research seminar featuring international speakers in optimization under uncertainty, PDE-constrained optimization, optimal control of complex systems, uncertainty quantification and scientific machine learning, with applications from imaging to materials science. Talks were 50 minutes plus discussion, open to students, postdocs and everyone interested in continuous optimization in Oslo.

The seminar is currently on hiatus. Recordings of past talks are on the OiO YouTube channel; click a title for the speaker’s abstract and bio.

2023

22 November

Non-diffusive Variational Problems with Distributional and Weak Gradient Constraints

Carlos Rautenberg · George Mason University

Abstract
15 November

Solvers, Models, Learners: Toward Statistical Scientific Computing

Florian Schäfer · Georgia Institute of Technology

Video Abstract
8 November

Bilevel learning for inverse problems

Juan Carlos de Los Reyes · Escuela Politécnica Nacional de Ecuador

Video Abstract
2 November

Controlling defects in the Landau–de Gennes model of nematic liquid crystals

Shawn W. Walker · Louisiana State University

Video Abstract
25 October

Derivative-Informed Neural Operator for PDE-Constrained Optimization under Uncertainty

Peng Chen · Georgia Institute of Technology

Video Abstract
18 October

Nonsmooth, nonconvex Optimization on Riemannian Manifolds

Ronny Bergmann · Norges teknisk-naturvitenskapelige universitet (NTNU)

Video Abstract
11 October

A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction

Michael Ulbrich · Technische Universität München

Video Abstract
4 October

Error estimates for nonconforming and discontinuous discretizations of nonsmooth problems via convex duality

Sören Bartels · Albert-Ludwigs-Universität Freiburg

Abstract
24 May

Optimization, Digital Twins and Augmented Lagrangian Methods

Harbir Antil · George Mason University

Video Abstract
3 May

Generalized Newton Methods in Nonsmooth Optimization

Boris Mordukhovich · Wayne State University, USA

Video Abstract
25 April

Quantum models and optimal control problems

Alfio Borzi · Julius-Maximilians-Universität Würzburg

Video Abstract
29 March

Simultaneous Online Model Identification and Production Optimization Using Modifier Adaptation as a POMDP

Vyacheslav Kungurtsev · Czech Technical University, Prague

Video Abstract
8 March

Regularization in Integer Optimal Control -- Lessons Learned and Challenges Ahead

Paul Manns · Technische Universität Dortmund

Video Abstract

2022

21 December

Consistency of Monte Carlo Estimators for Risk-Neutral PDE-Constrained Optimization

Johannes Milz · Technische Universität München

Video Abstract
14 December

Rockafellian functions: The most important concept in optimization that you haven’t heard of

Johannes Royset · Naval Postgraduate School

Video Abstract
7 December

PDE-Constrained Optimization with Learning-Informed Structures

Michael Hintermüller · Humboldt-Universität zu Berlin & Weierstraß-Institut

Video Abstract
30 November

Conditional Gradient methods for generalised self-concordant minimization

Mathias Staudigl · Maastricht University

Video Abstract
23 November

Adaptive Sampling for Constrained Optimization under Uncertainty

Brendan Keith · Brown University

Video Abstract
16 November

An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Optimization

Drew P. Kouri · Sandia National Laboratories

Video Abstract
9 November

Neural Network Approaches for High-Dimensional Optimal Control

Lars Ruthotto · Emory University

Video Abstract
2 November

Sparse random embeddings and their applications to optimization

Coralia Cartis · University of Oxford

Video Abstract
26 October

Ultra-high resolution structural optimization: Current state-of-the-art and new frontiers

Niels Aage · Technical University of Denmark

Video Abstract
19 October

Solution Concepts for Optimal Feedback Control of Nonlinear Partial Differential Equations

Karl Kunisch · University of Graz & Radon Institute

Video Abstract