Algorithmic Optimization: Tools for AI and Data Science (ALGOPT 2024)

Optimization methods are fundamental to data science and AI, enabling critical tasks such as sparse data recovery, clustering, dimensionality reduction, and data completion. They are also essential for training machine learning models, including neural networks.
However, existing optimization methods are being constantly challenged by the particular features of modern applications. For example, emerging problems related to data science and AI often involve a huge number of variables, complex data structure, and may require distributed data support.
Consequently, there is a rising demand for the development of new optimization methods customized for specific applications and ideally supported by provable efficiency guarantees. This workshop aims to bring together experts interested in the theory, design, and application of optimization methods. It will serve as a platform for sharing the latest advancements in Algorithmic Optimization, promoting idea exchange and scientific collaborations.

Confirmed Speakers :

Masoud Ahookhosh (University of Antwerp, Belgium)
Francis Bach (INRIA, France)
Nicolas Boumal (EPFL, Switzerland)
Coralia Cartis (University of Oxford, UK)
Nikita Doikov (EPFL, Switzerland)
Paul Van Dooren (Université catholique de Louvain)
Radu-Alexandru Dragomir (Télécom Paris, France) 
Pavel Dvurechensky (WIAS, Germany)
Mihai Iulian Florea (Université catholique de Louvain, Belgium)
Robert Freund (MIT, USA)
Michel Gevers (Université catholique de Louvain, Belgium)
Niao He (ETH Zürich, Switzerland) 
Tibor Illés (Corvinus University of Budapest, Hungary) 
Anatoli Juditsky (Université Grenoble-Alpes, France)
Etienne de Klerk (Tilburg University, Netherlands)
George Lan (Georgia Institute of Technology, USA)
Goran Lesaja (Georgia Southern University, USA) 
Boris Mordukhovich (Wayne State University, USA)
Ion Necoara (University Politehnica Bucharest, Romania)
Arkadi Nemirovski (Georgia Institute of Technology, USA)
Yurii Nesterov (Université catholique de Louvain, Belgium)
Panos Patrinos (KU Leuven, Belgium)
Peter Richtárik (KAUST, Saudi Arabia)
Anton Rodomanov (CISPA Helmholtz Center for Information Security, Germany)
Kees Roos (Delft University of Technology, Netherlands)
Katya Scheinberg (Cornell University, USA) 
Vladimir Shikhman (Chemnitz University of Technology, Germany)
Damien Scieur (Samsung - SAIL Montréal, Canada) 
Vladimir Spokoiny (WIAS, Germany)
Tamás Ter laky (Lehigh University, USA) 
Philippe Toint (Université de Namur, Belgium)
Levent Tunçel (University of Waterloo, Canada)
Luis Nunes Vicente (Lehigh University, USA) 
Stephen Wright (University of Wisconsin, USA)
Yinyu Ye (Stanford University, USA)

Poster Presentation :

Contributed presentations in poster format are invited on all topics related to the conference theme. Participants who intend to present a poster must submit the title, abstract, and affiliation by email to algopt2024@uclouvain.be. The deadline for submission is July 24, 2024, and notification of acceptance will be sent by July 27, 2024.

* The number of participants will be limited.

Organizing Committee :

François Glineur
Geovani Nunes Grapiglia