Julien GRAND-CLEMENT

Professeur Assistant

Information Systems et Operations Management

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

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.

FILTRER PAR

Articles scientifiques

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

Management Science, À paraître, (in coll. with J. PAUPHILET)

On the convex formulations of robust MDPs

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

Solving Optimization Problems with Blackwell Approachability

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

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)

A First-Order Approach to Accelerated Value Iteration

Operations Research, mars-avril 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)

Actes de conférence

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)

Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving

Thirty-fifth Conference on Neural Information Processing Systems , 2021 , 34 (Christian Kroer)

Estimation of Excess Mortality Resulting from Use of a Ventilator Triage Protocol Under Sars-CoV-2 Pandemic Surge Conditions

2021 International Conference of the American Thoracic Society , 2021 , A2589 (V. Goyal, C. W. Chan, M. N. Gong, E. C. Chuang, J. -T. Chen, P. Cuartas)

Cahiers de recherche

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

Cahier de Recherche , 2025