Julien GRAND-CLEMENT

Assistant Professor

Information Systems and Operations Management

grand-clement@hec.fr https://people.hec.edu/grand-clement/

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.

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Scientific articles

The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations

Management Science, Forthcoming, (in coll. with J. PAUPHILET)

On the convex formulations of robust MDPs

Mathematics of Operations Research, Forthcoming, (in coll. with M. PETRIK)

Solving Optimization Problems with Blackwell Approachability

Mathematics of Operations Research, May 2024, vol. 49, n° 2, pp 697–728, (in coll. with C. Kroer)

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)

A First-Order Approach to Accelerated Value Iteration

Operations Research, March-April 2023, vol. 71, n° 2, pp 517-535, (in coll. with V. Goyal)

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

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games

2025 International Conference on Learning Representations_ICLR , 2025 , Singapore (Y. CAI, G. FARINA, C. KROER, C.-W. LEE, H. LUO, W. ZHENG)

Risk-averse Total-reward MDPs with ERM and EVaR

39th AAAI Conference on Artificial Intellignece (AAAI-25) , 2025 , 39 , 19 (X. SU, M. PETRIK)

Extensive-Form Game Solving via Blackwell Approachability on Treeplexes

NeurIPS 2024 , 2024 (D. CHAKRABARTI, C. KROER)

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)

Working papers

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games

Cahier de Recherche , 2025