Trade-opt ITN Project

Trade-opt ITN Project

The main goal of TraDE-Opt is the education of 15 experts in optimization for data science, with a s


New paper “Random Activations in Primal-Dual Splittings for Monotone Inclusions with a Priori Information” by Luis Briceño-Arias, Julio Deride and Cristian Vega

Photos from Trade-opt ITN Project's post 27/09/2021

New pre print

“Degenerate Preconditioned Proximal Point algorithms”
by Kristian Bredies, Enis Chenchene, Dirk A. Lorenz and Emanuele Naldi


The Summer school is over and we want to thank each one of the speakers, the organizers and all participants for making it a success

Photos from Trade-opt ITN Project's post 09/07/2021

Last day of our Summer school.
Today we’ll say goodbye for now but we are already organizing next appointment.

A workshop is scheduled on 2022 stay tuned

Photos from Trade-opt ITN Project's post 06/07/2021

The first Summer School is going on

Thanks to the Organization Committee

TraDE-OPT ITN 11/06/2021

we are happy to announce the First Trade-OPT Summer School on
"Optimization Methods for Machine Learning and Inverse Problems" virtually hosted at Centrale Supelec 5-9 Jul 2021.
Scientific Program:
Kristian Bredies
Dirk Lorenz
Lorenzo Rosasco
SciComm courses:
Divya Madhavan
Aurélie Thomann
Bibliography management tools:
Laurent Duval
More details here


Photos from Trade-opt ITN Project's post 15/03/2021

Lionel Tondji and Enis Chenchene are our student representatives.
They are looking forward to voice the group's ideas and initiative


Today Supervisory board meeting


The first trade-opt school going on

UniGe -IIT, nuovo accordo per diventare protagonisti nel campo dell’IA - IITalk 15/01/2021

AI Initiative Genova was born: a joint initiative between IIT and UNIGE to train experts in AI.

UniGe -IIT, nuovo accordo per diventare protagonisti nel campo dell’IA - IITalk L’IIT e Università di Genova rafforzano la loro presenza nella rete europea ELLIS L’Istituto Italiano di Tecnologia (IIT) e l’Università di Genova (UniGe) rafforzano il loro ruolo di riferimento italiano e internazionale per l’Intelligenza Artificiale (IA) siglando un nuovo accordo per la ...

Photos from Trade-opt ITN Project's post 15/01/2021

The main goal of TraDE-Opt is the education of 15 experts in optimization for data science, with a solid multidisciplinary background, able to advance the state-of-the-art. This field is fast-developing and its reach on our life is growing both in pervasiveness and impact. The central task in data science is to extract meaningful information from huge amounts of collected observations. Optimization appears as the cornerstone of most of the theoretical and algorithmic methods employed in this area. Indeed, recent results in optimization, but also in related areas such as functional analysis, machine learning, statistics, linear algebra, signal processing, systems and control theory, graph theory, data mining, etc. already provide powerful tools for exploring the mathematical properties of the proposed models and devising effective algorithms. Despite these advances, the nature of the data to be analyzed, that are “big”, heterogeneous, uncertain, or partially observed, still poses challenges and opportunities to modern optimization. The key aspect of the TraDE-Opt research is the exploitation of structure, in the data, in the model, or in the computational platform, to derive new and more efficient algorithms with guarantees on their computational performance, based on decomposition and incremental/stochastic strategies, allowing parallel and distributed implementations. Advances in these directions will determine impressive scalability benefits to the class of the considered optimization methods, that will allow the solution of real world problems. To achieve this goal, we will offer an innovative training program, giving a solid technical background combined with employability skills: management, fund raising, communication, and career planning skills. Integrated training of the fellows takes place at the host institute and by secondments, workshops, and schools. As a result, TraDE-Opt fellows will be prepared for outstanding careers in academia or industry.

Want your school to be the top-listed School/college?