3 papers
cs.LG2026
Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers
Artem Riabinin, Andrey Veprikov, Arman Bolatov +2
We study adaptive learning rate scheduling for norm-constrained optimizers (e.g., Muon and Lion). We introduce a generalized smoothness assumption under which local curvature decre…
cs.LG2025
Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods
Andrey Veprikov, Arman Bolatov, Aleksandr Bogdanov +4
Optimization lies at the core of modern deep learning, yet existing methods often face a fundamental trade-off between adapting to problem geometry and leveraging curvature utiliza…
cs.CV2023
A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract
Aknur Karabay, Arman Bolatov, Huseyin Atakan Varol +1
Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms. Leveraging these social…