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Julien GRAND-CLEMENT

Associate Professor

Information Systems and Operations Management

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Biography

Julien Grand-Clément is an assistant professor in the Information Systems and Operations Management Department at HEC Paris. He completed his Ph.D. from the IEOR Department at Columbia University in 2021, and his M.Sc. from Ecole polytechnique (Paris) in 2016. His research interests broadly lie at the intersection of sequential decision-making for healthcare and data-driven optimization algorithms. His latest collaborations include robust allocations of beds in intensive care units with hospitals in California and interpretable ventilator allocations guidelines with hospitals in New York City. His research articles have appeared in leading academic journals, medical and artificial intelligence conferences.

Scientific articles

Proceedings

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)

Working papers

Scientific articles

Robust Markov Decision Processes: Beyond Rectangularity

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

Robustness of Proactive Intensive Care Unit Transfer Policies

Operations Research, September-October 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)

Proceedings

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)

Working papers

Education

  • PhD in Operations Research, Columbia University - USA

Academic appointments

Academic Responsibilities at HEC

  • 2025- Associate Professor HEC Paris
  • 2021-2025 Assistant Professor HEC Paris