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 Professor Olivier Spanjaard.
After that I was a Postdoc at Gran Sasso Science Institute in l'Aquila.
You can find here some information about me and my research.
Research Interests
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. Recently, my work as particularly focused on two types of problems related to social networks: either problems that are related to influence spreads; or problems that are related to interactive forms of voting procedures.Thesis
Thesis Director: Olivier Spanjaard
Co-Advisors: Paul Weng, Paolo Viappiani
Jury : | Wlodzimierz Ogryczak | Warsaw University of Technology | Rapporteur |
---|---|---|---|
Régis Sabbadin | INRA Toulouse | Rapporteur | |
Yann Chevaleyre | University Paris-Dauphine | Examiner | |
Bruno Escoffier | University Pierre and Marie Curie | Examiner | |
Hélène Fargier | University Paul Sabatier (Toulouse) | Examiner |
Title : Oracle-based Algorithms for Optimizing Sophisticated Decision Criteria in Sequential, Robust and Fair Decision Problems
Date: 11th December 2017 at University Pierre and Marie Curie
As a PhD student, I have studied the mathematical and algorithmic properties of sophisticated decision criteria in sequential decision problems (represented as decision trees or Markovian decision processes) and multi-agent decision problems (e.g., multi-winner voting problems, marriage problems). These non-standard criteria are motivated by their abilities to better model human behaviors or to account for fairness properties.
More precisely, while I have been focussing on the Weighted Expected Utility model and the Skew Symmetric Bilinear utility model in sequential decision problems, I have been studying the use of mixture operators and ordered weighted averages in multi-agent decision problems.
Keywords: Artificial intelligence; Algorithmic Decision theory; Markov decision processes; Qualitative/ordinal decision-making; Preference learning/elicitation.
Journal Articles
- Journal of Artificial Intelligence Research 2022 : Fairness in Influence Maximization through Randomization.
Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi, Hugo Gilbert - Theoretical Computer Science 2022 : Beyond pairwise comparisons in social choice: A setwise Kemeny aggregation problem.
Hugo Gilbert, Tom Portoleau, Olivier Spanjaard - Algorithmica 2019 : Optimizing a Generalized Gini Index in Stable Marriage Problems: NP-Hardness, Approximation and a Polynomial Time Special Case
Hugo Gilbert, Olivier Spanjaard
- EJOR 2017 : A Double Oracle Approach to Minmax Regret Optimization Problems with Interval Data
Hugo Gilbert, Olivier Spanjaard - Journal of Grid Computing 2015 : Visual and Audio Monitoring of Island Based Parallel Evolutionary Algorithms
Evelyne Lutton, Hugo Gilbert, Waldo Cancino, Benjamin Bach, Joseph Pallamidessi, Pierre Parrend, Pierre Collet
International Conference Papers
- AAMAS 2022 : Computation and Bribery of Voting Power in Delegative Simple Games.
Gianlorenzo D'Angelo, Esmaeil Delfaraz, Hugo Gilbert - ADT 2021 : Unveiling the Truth in Liquid Democracy with Misinformed Voters.
Ruben Becker, Gianlorenzo D'Angelo, Esmaeil Delfaraz, Hugo Gilbert - CIKM 2021 : Influence Maximization With Co-Existing Seeds.
Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert - AAAI 2021 : Fairness in Influence Maximization through Randomization
Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi, Hugo Gilbert - ALENEX 2021 : Group-Harmonic and Group-Closeness Maximization – Approximation and Engineering
Eugenio Angriman, Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert, Alexander van der Grinten, Henning Meyerhenke - ECAI 2020 : Parameterized Complexity of Manipulating Sequential Allocation
Michele Flammini, Hugo Gilbert
- AAAI 2020 : Iterative Delegations in Liquid Democracy with Restricted Preferences
Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau
- AAAI 2020 : Balancing Spreads of Influence in a Social Network
Ruben Becker, Federico Coro, Gianlorenzo D'Angelo, Hugo Gilbert
- AAAI 2020 : Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
Hugo Gilbert, Tom Portoleau, Olivier Spanjaard
- SAGT 2019 : The Convergence of Iterative Delegations in Liquid Democracy in a Social Network
Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau - IJCAI 2017 : Incremental Decision Making Under Risk with the Weighted Expected Utility Model.
Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani - UAI 2017 : Complexity of Solving Decision Trees with Skew-Symmetric Bilinear Utility
Hugo Gilbert, Olivier Spanjaard - ADT 2017 : Fair Proportional Representation Problems with Mixture Operators
Hugo Gilbert - AAAI 2017 : Optimizing Quantiles in Preference-based Markov Decision Processes
Hugo Gilbert, Paul Weng, Yan Xu - UAI 2016 : Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities
Hugo Gilbert, Bruno Zanuttini, Paolo Viappiani, Paul Weng, Esther Nicart - ADT 2015 : Reducing the Number of Queries in Interactive Value Iteration
Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
- IJCAI 2015 : Solving MDPs with Skew Symmetric Bilinear Utility Functions
Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
- EvoApps 2014 : Gridvis: Visualisation of Island-Based Parallel Genetic Algorithms
Evelyne Lutton, Hugo Gilbert, Waldo Cancino, Benjamin Bach, Pierre Collet
Best Paper Award at workshop EvoPar2014
National Conference Papers
- ROADEF 2016 : Une nouvelle borne pour les problèmes d’optimisation combinatoire robuste avec des coûts sous forme d’intervalles
Hugo Gilbert, Olivier Spanjaard
Second price at the "prix jeunes chercheurs" - ROADEF 2015 : Processus décisionnels de Markov avec un tournoi valué sur les politiques
Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
Teaching
- From 2017 to 2018 : Introduction to Python
At UPMC, 1st-year of Bachelor Degree in Computer Science - From 2017 to 2018 : Decision Theory and Game Theory
At UPMC, 1st-year of Master of Science - From 2016 to 2018 : Algorithmic Theory and Data Structures
At UPMC, 2nd-year of Bachelor Degree in Computer Science - From 2015 to 2018 : Advanced programming in C
At UPMC, 2nd-year of Bachelor Degree in Computer Science - From 2015 to 2017 : MAREP, Machine representation
At UPMC, 2nd-year of Bachelor Degree in Computer Science - From 2015 to 2018 : ROB3, Algorithmic Theory
At Polytech Paris, UPMC, 3rd-year of Bachelor Degree in Computer Science
Academic Duties
I will be, am or have been a PC for the following conferences: AAMAS2021, AAAI2021, RJCIA2020, IJCAI-PRICAI2020, AAMAS2020, AAAI2020, RJCIA2019, IJCAI2019, IJCAI2018. I will be SPC at IJCAI2021.Contact
Interested in my research? Just send me an email.
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