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Julien GRAND-CLEMENT

Professeur Associé

Information Systems et Operations Management

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Biographie

Julien Grand-Clément est un professeur assistant en systèmes d'information et gestion des opérations à HEC Paris. Il possède un doctorat de l'Université de Columbia (NY, USA) et un master de l'Ecole polytechnique (Paris). Sa recherche se concentre sur l'automatisation des décisions médicales et les algorithmes d'optimisation robuste. Ses dernières collaborations concernent la répartition des lits en salles de soins intensifs dans des hôpitaux californiens et le triage des respirateurs dans des hôpitaux new-yorkais. Ses articles de recherche ont paru dans des journaux académiques, ainsi que dans des conférences médicales et d'intelligence artificielle.

Articles scientifiques

Actes de conférence

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms

38th Conference on Neural Information Processing Systems (NeurIPS 2024) , 2024 (Y. CAI, G. FARINA, C. KROER, C.-W. LEE, H. LUO, W. ZHENG)

Optimality of Stationary Policies in Risk-averse Total-reward MDPs with EVaR

ICML 2024 Workshop: Foundations of Reinforcement Learning and Control--Connections and Perspectives , 2024 (X. SU, M. PETRIK)

Reducing blackwell and average optimality to discounted mdps via the blackwell discount factor

37th Advances in Neural Information Processing Systems (NeurIPS 2023) , 2023 , New Orleans (M. PETRIK)

Regret Matching: (In) Stability and Fast Convergence in Games

37th Advances in Neural Information Processing Systems (NeurIPS 2023) , 2023 , New Orleans (G. FARINA, C. KROER, C.-W. LEE, H. LUO)

Cahiers de recherche

Articles scientifiques

Robust Markov Decision Processes: Beyond Rectangularity

Mathematics of Operations Research, février 2023, vol. 48, n° 1, pp 203-226, (in coll. with V. Goyal)

Robustness of Proactive Intensive Care Unit Transfer Policies

Operations Research, septembre-octobre 2023, vol. 71, n° 5, pp 1653–1688, (in coll. with C. W. CHAN, V. GOYAL, G. ESCOBAR)

Quantifying Utilitarian Outcomes to Inform Triage Ethics: Simulated Performance of a Ventilator Triage Protocol under Sars-CoV-2 Pandemic Surge Conditions

AJOB Empirical Bioethics, 2022, vol. 13, n° 3, pp 196-204, (in coll. with E. Chuang, J.-T. Chen, C. W. Chan, V. Goyal, M. N. Gong)

The Operator Approach to Entropy Games

Theory of Computing Systems, 2019, vol. 63, n° 5, pp 1089-1130, (in coll. with M. Akian, S. Gaubert, J. Guillaud)

Actes de conférence

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms

38th Conference on Neural Information Processing Systems (NeurIPS 2024) , 2024 (Y. CAI, G. FARINA, C. KROER, C.-W. LEE, H. LUO, W. ZHENG)

Optimality of Stationary Policies in Risk-averse Total-reward MDPs with EVaR

ICML 2024 Workshop: Foundations of Reinforcement Learning and Control--Connections and Perspectives , 2024 (X. SU, M. PETRIK)

Reducing blackwell and average optimality to discounted mdps via the blackwell discount factor

37th Advances in Neural Information Processing Systems (NeurIPS 2023) , 2023 , New Orleans (M. PETRIK)

Regret Matching: (In) Stability and Fast Convergence in Games

37th Advances in Neural Information Processing Systems (NeurIPS 2023) , 2023 , New Orleans (G. FARINA, C. KROER, C.-W. LEE, H. LUO)

Cahiers de recherche

Formation

  • PhD in Operations Research, Columbia University - Etats-Unis

Nominations académiques

Responsabilités académiques à HEC

  • 2025- Professeur Associé HEC Paris
  • 2021-2025 Professeur Assistant HEC Paris