ALEKSANDR VLADIMIROVICH LOBANOV

Here is up-to-date information about me, including my current place of study/work and where I am from.

I am a Research Scientist at the Artificial Intelligence Center of Lomonosov Moscow State University. My research focuses on the mathematical foundations of optimization for machine learning, including stochastic optimization, generalized smoothness, training dynamics, derivative-free optimization, and distributed learning. A central theme of my recent work is understanding modern optimization mechanisms — such as gradient clipping, normalization, and learning-rate warmup — beyond classical global smoothness assumptions. I received my PhD in Applied Mathematics and Computer Science from the Moscow Institute of Physics and Technology in 2025 under the supervision of Prof. Alexander Gasnikov. In 2024, I was also a Visiting Researcher in the Department of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), hosted by Prof. Martin Takáč.

Area Chair at NeurIPS 2026.