- FR
- EN
hugo.gilbert@lamsade.dauphine.fr
Phone
: 01 44 05 48 00
Office
: P615
I am currently assistant professor at Université Paris Dauphine-PSL. I obtained my PhD degree at University Pierre and Marie Curie (Paris) in Algorithmic Decision Theory in the decision team of Lip6 under the supervision of Olivier Spanjaard. After that I was a Postdoc at Gran Sasso Science Institute in l'Aquila. My work falls in the scopes of combinatorial optimization, decision aiding, algorithmic game theory and computational social choice. I enjoy designing exact and approximation algorithms, as well as studying the complexity and parameterized complexity of algorithmic problems. I am interested in a wide range of topics as sequential decision making, voting, allocation procedures and robust optimization.
Gilbert H., Portoleau T., Spanjaard O. (2022), Beyond pairwise comparisons in social choice: A setwise Kemeny aggregation problem, Theoretical Computer Science, vol. 904, p. 27-47 
Airiau S., Gilbert H., Grandi U., Lang J., Wilczynski A. (2023), Fair Rent Division on a Budget Revisited, in Kobi Gal ; Ann Nowé ; Grzegorz J. Nalepa ; Roy Fairstein ; Roxana Rădulescu, Amsterdam, IOS Press, 52-59 p.
Gilbert H., Ouaguenouni M., Ozturk M., Spanjaard O. (2023), Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies, in Noa Agmon ; Bo An, New York, NY, ACM - Association for Computing Machinery, 2439-2441 p.
Gilbert H., Ouaguenouni M., Ozturk M., Spanjaard O. (2023), A Hybrid Approach to Preference Learning with Interaction Terms, in Kobi Gal ; Ann Nowé ; Grzegorz J. Nalepa ; Roy Fairstein ; Roxana Rădulescu, Amsterdam, IOS Press, 835-842 p.
d'Angelo G., Delfaraz E., Gilbert H. (2022), Computation and Bribery of Voting Power in Delegative Simple Games, in , elsevier, New York, NY, ACM - Association for Computing Machinery, 336–344 p.
Becker R., D’Angelo G., Delfaraz E., Gilbert H. (2021), Unveiling the Truth in Liquid Democracy with Misinformed Voters, in Dimitris Fotakis, David Ríos Insua, Springer, 132-146 p.
Angriman E., Becker R., D'Angelo G., Gilbert H., van der Grinten A., Meyerhenke H. (2021), Group-Harmonic and Group-Closeness Maximization – Approximation and Engineering, in , Society for Industrial and Applied Mathematics, 154-168 p.
Becker R., D'Angelo G., Gilbert H. (2021), Influence Maximization With Co-Existing Seeds, in , New York, NY, ACM - Association for Computing Machinery, 100–109 p.
Gilbert H., Ouaguenouni M., Ozturk M., Spanjaard O. (2023), Régression ordinale robuste pour l'élicitation de préférences multi-attributs avec synergies entre attributs, 24ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2023), Rennes, France
Gilbert H., Ouaguenouni M., Ozturk M., Spanjaard O. (2022), Cautious Learning of Multiattribute Preferences, 13th Multidisciplinary Workshop on Advances in Preference Handling (MPREF 2022), Vienna, Autriche
Gilbert H., Ozturk M., Ravier A., Spanjaard O. (2022), Dominance ordinale avec interactions binaires : une étude axiomatique et algorithmique, 23ème congrès annuel de la Société française de recherche opérationnelle et d’aide à la décision (ROADEF 2022), Lyon, France
Ravier A., Gilbert H., Ozturk M., Spanjaard O. (2022), Ordinal dominance with binary interactions for subset choice: axiomatic analysis and complexity issues, M-pref 2022: 13th Multidisciplinary Workshop on Advances in Preference Handling, Vienna, Autriche
Becker R., D'Angelo G., Ghobadi S., Gilbert H. (2021), Fairness in Influence Maximization through Randomization, Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021
