Europt 2024
21st Conference on Advances in
Continuous Optimization

26-28 June 2024
Lund University, Sweden

About EUROPT 2024

About EUROPT 2024

The 21st EUROPT Conference on Advances in Continuous Optimization (EUROPT 2024) focuses on recent advances in continuous optimization, covering theory, algorithms, software, and applications. We aim to bring together both theoretical and applied researchers in the field. The event features invited plenary lectures, as well as invited and contributed sessions. The conference is preceded by the fourth edition of the EUROPT Summer School, taking place on June 24-25.

Where

Lund University, Lund
Sweden

When

26-28 June 2024

Plenary Speakers

Plenary speakers at EUROPT 2024.

Gabriel Peyré

Gabriel Peyré

CNRS and École Normale Supérieure, Paris

Amir Beck

Amir Beck

Tel-Aviv University

Sebastian Stich

Sebastian Stich

CISPA Helmholtz Center for Information Security

Gabriele Eichfelder

Gabriele Eichfelder
2024 EUROPT Fellow

Technische Universität Ilmenau

Streams and stream organizers

The conference will have invited sessions on the following topics.

Please, let us know if you want to organize a stream. Confirmed streams so far:

Advances in first-order optimization

Organizers: Puya Latafat, Emanuel Laude, Panagiotis Patrinos

Bilevel optimization: Strategies for complex decision-making

Organizer: Alp Yurtsever

Challenges in nonlinear programming

Organizers: Pavel Dvurechensky, Jakub Marecek, Mathias Staudigl

Conic optimization: theory, algorithms and applications

Organizers: Miguel Anjos, Etienne De Klerk

Developments in interior point methods

Organizers: Utkarsh Detha, Martin S. Andersen

Global optimization

Organizer: Sonia Cafieri

In memory of Georg Still

Organizers: Mirjam Duer, Oliver Stein

Large-scale optimization

Organizers: Amir Beck, Pontus Giselsson

Methods for non-/monotone inclusions and their applications

Organizer: Dimitri Papadimitriou

Multiobjective optimization

Organizer: Gabriele Eichfelder

Nonsmooth and nonconvex optimization algorithms

Organizers: Masoud Ahookhosh, Sorin-Mihai Grad, Alireza Kabgani

Optimal control and stochastic optimal control - theory, methods and applications

Organizer: Gerhard-Wilhelm Weber

Optimization for inverse problems and machine learning

Organizers: Enis Chenchene, Emanuele Naldi, Cheik Traoré

Optimization for learning

Organizers: Pontus Giselsson, Manu Upadhyaya

Optimization in neural architectures: convergence and solution characterization

Organizers: Manish Krishan Lal, Maria-Luiza Vladarean

Optimization in regression, classification and learning

Organizer: Paula Amaral

Randomized optimization algorithms

Organizer: Laurent Condat

Variational analysis: theory and algorithms

Organizers: Francisco Javier Aragón Artacho, Abderrahim Hantoute

Schedule

Schedule overview below. Detailed schedule is available here (desktop version) and here (mobile version).

Registration

Registration desk is located in the entrance of the conference venue.

Opening session

Room M:A.

Gabriel Peyré

Plenary talk Gabriel Peyré

Conservation Laws for Gradient Flows

Coffee break

Parallel sessions WC

Link to detailed program.

Parallel sessions WD

Link to detailed program.

Lunch

At restaurant Inspira, a 10 minute walk, see map.

Parallel sessions WE

Link to detailed program.

Coffee break

Parallel sessions WF

Link to detailed program.

Coffee break

Parallel sessions TB

Link to detailed program.

Parallel sessions TC

Link to detailed program.

Lunch

At restaurant Inspira, a 10 minute walk, see map.

Parallel sessions TD

Link to detailed program.

Coffee break

Gabriele Eichfelder

Plenary talk - EUROPT fellow Gabriele Eichfelder

Multiobjective optimization, uncertainty, and a bit of set optimization

Conference dinner

At restaurant Eatery, located here. It is a 25 minute walk or a 15 minute walk plus tram ride, from stop Lund LTH to stop Lund Telefonplan.

Sebastian Stich

Plenary talk Sebastian Stich

TBA

Coffee break

Parallel sessions FB

Link to detailed program.

Parallel sessions FC

Link to detailed program.

Lunch

At restaurant Inspira, a 10 minute walk, see map.

Parallel sessions FD

Link to detailed program.

Coffee to go

Scientific committee

  • Pontus Giselsson (co-chair), Lund University
  • Giancarlo Bigi (co-chair), University of Pisa
  • Masoud Ahookhosh, University of Antwerp
  • Paula Amaral, Nova School of science and technology, Lisbon
  • Miguel Anjos, University of Edinburgh
  • Francisco Aragon-Artacho, University of Alicante
  • Immanuel Bomze, University of Vienna
  • Sonia Cafieri, ENAC, Université de Toulouse
  • Laurent Condat, King Abdullah University of Science and Technology
  • Gabriele Eichfelder, Ilmenau University of Technology
  • Etienne de Klerk, Tilburg University
  • Dmitri Kvasov, University of Calabria, Italy
  • Yura Malitsky, University of Vienna
  • Sorin Mihai-Grad, Polytechnic Institute of Paris
  • Yurii Nesterov, Catholic University of Louvain, Louvain-la-Neuve
  • Peter Ochs, Saarland University
  • Laura Palagi, Sapienza University of Rome
  • Ashkan Panahi, Chalmers University of Technology, Gothenburg
  • Mathias Staudigl, University of Mannheim
  • Christiane Tammer, Martin Luther University Halle-Wittenberg
  • Tamás Terlaky, Lehigh University
  • Wilhelm Weber, Poznan University of Technology
  • Alp Yurtsever, Umeå University

Abstract Submission

The submission system is available at http://www.euro-online.org/conf/europt2024/. The conference accepts contributed abstracts and invited abstract. To submit an invited abstract, a session code from the stream organizer is needed. Please, find our call for contributions here.

Important dates

Abstract submission deadline: April 7, 2024 April 21, 2024 (final)
Abstract acceptance: April 25, 2024

Registration

Registration is open. You can access the registration page by following this link. Please note, we accept payments through credit/debit cards. The registration fees, inclusive of VAT, are as follows:

Registration category Fee
Early – Regular 3000 SEK (approx € 270)
Early – Student, Retired 2250 SEK (approx € 200)
Early – Accompanying person 1350 SEK (approx € 120)
Late – Regular 3500 SEK (approx € 315)
Late – Student, Retired 2750 SEK (approx € 245)
Late – Accompanying person 1650 SEK (approx € 145)

Early registration deadline: May 5, 2024
Late registration deadline: May 25, 2024

Each registration includes:

  • The opportunity to deliver one presentation
  • Access to all conference sessions
  • Complimentary coffee, refreshments, and lunches during the conference
  • A conference dinner on June 27

Cancellations and refunds

Notice of cancellation must be sent by email to Pontus Giselsson. For cancellations received before June 5, 2024, a full refund minus an administration fee of 400 SEK (€ 35) will be granted. After this date, refunds will be at the discretion of the organizing committee. If you are not able to attend, you are welcome to give your registration to a colleague. Change of name is free of charge. No‐shows will not receive a refund. Please allow up to 4 weeks to receive any refunds.

Force Majeure

Unexpected cancellation of the conference. The organising commitee reserves itself the right to cancel EUROPT2024 without notice or compensation in the event of force majeure cases (for example, but not limited to acts of nature such as fire, earthquake, hurricane, flood, war, or terrorist attacks). In such cases, the organizing committee is freed of all responsibility.

Limitation of liability. In the event of it being impossible to carry out the EUROPT2024 for force majeure cases, so long as this arises from a cause not attributable to the organisers, the organisers shall only be obliged to reimburse the payments received subject to deduction of any costs it has incurred in preparing the event. This liability only extends to the payments made directly to the EUROPT2024 and not to payments made by the attendees to the hotel or airlines.

Conference Venue

The conference will take place in the M-building at Lund University in Lund, Sweden.

Department of Automatic Control, Lund University

The conference will take place in the M-building at the Technical Faculty of Lund University. This building is home to the organizers' department, the Department of Automatic Control.

Getting here

The M-building can be reached by bus or tram from the city center. The closest stops are Lund Tunavägen, Lund Professorsgatan, and Lund LTH. Tickets must be bought via the Skånetrafiken app (Google play/App store) prior to boarding the bus as ticket are not sold on the buss or the tram. An alternative to buss and tram is to walk, which takes about 20 minutes from the city center.

Travel

Flying to Lund

The nearest major airport to Lund is Copenhagen Airport, Kastrup, in Denmark. There are regular and direct train services across the Öresund Bridge to Sweden that take travelers to Lund in just 30 to 40 minutes. Train tickets can be bought (for appoximately €15) at vending machines at Kastrup, before entering the train terminal.

An alternative is to fly to Malmö Airport, Sturup. Although its location is closer to Lund, public transportation to Lund is not as convenient, and essentially nonexistent. Taxis are located right outside the terminal, with prices ranging from €50 to €80.


Further information

Please, find information about Lund with regards to:

Organizing Committee

The organizing committee members are from the Department of Automatic Control at Lund University or the EUROPT managing board.

Pontus Giselsson

Pontus Giselsson

General co-chair

Giancarlo Bigi

Giancarlo Bigi

General co-chair

Manu Upadhyaya

Manu Upadhyaya

Co-organizer

Max Nilsson

Max Nilsson

Co-organizer

Anton Åkerman

Anton Åkerman

Co-organizer

Cecilia Edelborg

Cecilia Edelborg

Local administration

Monika Rasmusson

Monika Rasmusson

Local administration

Mika Nishimura

Mika Nishimura

Local administration

EUROPT 2024 Summer School

June 24-25, Lund University, Sweden

This is the fourth edition of the EUROPT summer school. It is targeted to PhD students and young researchers within continuous optimization, but the school is open to everyone. Attendance is free of charge but with a mandatory registration registration. The summer school will be held in the M-building at Lund University, Sweden. Please, find more information about the summer school here.
Gabriel Peyré

June 24, Gabriel Peyré

Computational optimal transport

Optimal transport (OT) is a fundamental mathematical theory that intersects optimization, partial differential equations, and probability. It has recently emerged as a crucial tool for addressing a surprisingly wide range of problems in data science, such as shape registration in medical imaging, structured prediction problems in supervised learning, and training of deep generative networks. This mini-course will intertwine descriptions of the mathematical theory with recent developments in scalable numerical solvers. This approach will underscore the significance of recent advancements in regularized approaches for OT, which make it possible to address high-dimensional learning problems. In the first part of the course, I will explain Monge’s original transportation problem and detail Brenier’s theorem, which guarantees the existence and uniqueness of the optimal map. This theorem is then applied in the contexts of Gaussian distributions and one-dimensional densities. I will then present Kantorovich’s formulation, a convex relaxation that has a strong connection with linear programming. In particular, I will explain the celebrated Birkhoff-von Neumann theorem, which establishes an equivalence between Monge’s and Kantorovich’s formulations. I will also discuss the metric properties of Optimal Transport, which define a metric capable of quantifying the convergence in law of distributions and making it a powerful loss function in imaging and learning. The last part will focus on high-dimensional problems, requiring the use of entropic regularization. I will draw the connection of this approach with the Schrödinger problem in statistical physics and highlight the associated Sinkhorn’s algorithm, which is highly parallelizable on GPUs and has a significant connection with deep learning and neural networks.

Materials for the course, including a small book, slides, and computational resources, can be found online at https://optimaltransport.github.io/

Schedule

Lecture I
Coffee break
Lecture II
Lunch break
Lecture III
Coffee break
Lecture IV/Discussion

June 25, Gabriele Eichfelder

Multiobjective optimization

In real-life applications often multiple objective functions arise which have to be optimized at the same time, like costs, energy consumption, and quality. This is known as a multiobjective optimization problem, which involves optimizing a vector-valued objective map. A naïve approach is a weighted sum of the objectives. However, it is difficult to choose appropriate weights beforehand and the values of the individual objective functions can have different scales. Moreover, for non-convex optimization problems, valuable solutions may be overlooked by simplifying with a weighted sum, even if the weights are varied. Thus, several other approaches have been developed to solve these types of problems. The most prominent are nonlinear scalarizations, i.e., the reformulation as a parameter-dependent single-objective replacement problem like the epsilon-constraint method. But also direct methods for special classes of multiobjective problems using for instance descent directions or branch-and-bound techniques have been proposed in the last decades.

These lectures provide an introduction to multiobjective optimization. They begin by presenting the basic optimality concepts and the necessary theoretical background. The focus is then on numerical methods for solving such problems. The lectures give the classical scalarization approaches and discusses their advantages and limitations in terms of quality guarantees as well as for specific classes of optimization problems. A further topic will be descent methods, for which we examine optimality conditions like stationarity. The course continuous with additional ingredients for direct methods for solving multiobjective optimization problems. Participants will gain the ability to select appropriate solution approaches for specific multiobjective optimization problems and critically evaluate the outcomes of standard methods.

Schedule

Lecture I
Coffee break
Lecture II
Lunch break
Lecture III
Coffee break
Lecture IV/Discussion
Gabriele Eichfelder

Sponsors

Gold sponsors

Silver sponsors

Other sponsors

Contact Us

For general inquiries before, during, or after the conference, please do not hesitate to contact us.