Arman Bolatov
ELLIS PhD student at CISPA, advised by Sebastian Stich.
Saarbrücken, Germany
My research spans optimization, (machine, deep, federated) learning, efficient inference and training, and learning theory. I did my MSc in Machine Learning at MBZUAI, advised by Martin Takáč, and my BSc in Computer Science at Nazarbayev University.
I’ve also built RAG pipelines and deployed real-time CV models. On the side, I contributed to Beyond Curriculum, a Kazakhstani non-profit running Scoreboard, Blog, and Ask. I also taught olympiad math to high schoolers, who have since gone on to Columbia, Yonsei, and Nazarbayev University, and to medals at the Kazakhstan National Math Olympiad.
Outside of work, I love music, playing guitar, reading history, playing videogames, and I’m an average gym goer (I bench 100kg btw). Always happy to chat! 😊
selected publications
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Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive MethodsarXiv preprint, 2025
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ECAILong-Tail Theory under Gaussian MixturesIn European Conference on Artificial Intelligence (ECAI), 2023