About

I did my PhD in Operations Research and Machine Learning at CERMICS, Ecole des Ponts ParisTech under the supervision of Frédéric Meunier and Axel Parmentier . This PhD was part of an academic chaire between Ecole des Ponts Paristech and the Operations Research department of Air France. The project was to develop integer programming approaches for data-driven maintenance optimization. You can find my thesis manuscript here.

I joined Laboratory for Information and Decision Systems (LIDS) at MIT as a visiting student under the supervision of Patrick Jaillet from October 2019 to December 2019. I worked on online optimization topics.

Research topics

• Mathematical programming: linear programming, integer programming, decomposition methods, nonlinear programming
• Stochastic optimization problems: Markov decision processes, multi-stage stochastic problems, robust optimization
• Probabilistic graphical models: inference problems, influence diagrams
• Statistical learning: prediction tasks, estimators

Publications & Preprints

Published papers:

Parmentier, A., Cohen, V., Leclère, V., Obozinski, G., Salmon, J. (2019). Integer programming on the junction tree polytope for influence diagrams . INFORMS Journal on Optimization .

Preprints:

Cohen, V., Parmentier, A. (2018). Linear programming for decision processes with partial information . arXiv preprint arXiv:1811.08880.

Cohen, V., Parmentier, A. (2019). Two generalizations of Markov blankets . arXiv preprint arXiv:1903.03538.

Cohen, V., Parmentier, A. (2020). Integer programming for weakly coupled stochastic dynamic programs with partial information . arXiv preprint arXiv:2012.00645.

On-going papers:

Cohen, V., Parmentier, A. (2020). Data-driven maintenance optimization.

Conferences and Talks

Generalization of Markov Blanket to understand dependencies in graphical models, JFRB , May 2018, Toulouse.

Linear programming for influence diagrams, ISMP , July 2018, Bordeaux.

Linear programming for influence diagrams, Conference on Discrete Optimization and Machine Learning , July 2018, Tokyo.

Linear programming for influence diagrams, PGMO days , November 2018, Saclay.

Linear programming for decision processes with partial information, ROADEF , February 2019, Le Havre.

Linear programming for decision processes with partial information, 17th Cologne-Twente Workshop on Graphs and Combinatorial Optimization , July 2019, Twente.

Data-driven maintenance optimization, ROADEF , February 2020, Montpellier, Finalist of young researcher prize .

Science popularization

La Méthode Scientifique , France Culture, December 2018

Ma thèse en 180 secondes , Université Paris-Est, Finalist 2019

Teaching

Optimization for undergraduate students at Ecoles des Ponts Paristech

Operations Research for undergraduate students at Ecole des Ponts Paristech

Leading project on stochastic scheduling for undergraduate students at Ecole des Ponts Paristech

Curriculum

I am a former student of Ecole des Ponts ParisTech . A detailed resume can be found here (English version) or here (French version).

Contact