Razvan-Andrei Lascu

I am a Postdoctoral Researcher in the Deep Learning Theory team at RIKEN AIP. My research lies at the interface of Gradient Flows, Optimal Transport, Optimization and Reinforcement Learning.

I was previously a PhD student at Heriot-Watt University and University of Edinburgh, supervised by Mateusz Majka and Lukasz Szpruch.

Publications

R.-A. Lascu, D. Šiška, Ł. Szpruch. PPO in the Fisher-Rao geometry. NeurIPS (2026).
R.-A. Lascu, M. B. Majka, Ł. Szpruch. Mirror Descent-Ascent for mean-field min-max problems. NeurIPS (2026).
R.-A. Lascu, M. B. Majka, D. Šiška, Ł. Szpruch. Linear convergence of proximal descent schemes on the Wasserstein space. To appear in Ann. Appl. Probab. (2026).
R.-A. Lascu, M. B. Majka. Non-convex entropic mean-field optimization via Best Response flow. NeurIPS (2025).
R.-A. Lascu, M. B. Majka, Ł. Szpruch. Entropic mean-field min-max problems via Best Response flow. Appl. Math. Optim. 91, 48 (2025).
R.-A. Lascu, M. B. Majka, Ł. Szpruch. A Fisher-Rao gradient flow for entropic mean-field min-max games. Transactions on Machine Learning Research (2024).

Preprints

Talks/Workshops/Conferences

Teaching

Contact