Andrey Veprikov

According to our database, Andrey Veprikov authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond SGD, Without SVD: Proximal Subspace Iteration LoRA with Diagonal Fractional K-FAC.

Abdulla Jasem Almansoori, Maria Ivanova, Andrey Veprikov, Aleksandr Beznosikov, Samuel Horváth, Martin Takác

CoRR, February, 2026

Zero-Order Optimization for LLM Fine-Tuning via Learnable Direction Sampling.

Valery Parfenov, Grigoriy Evseev, Andrey Veprikov, Nikolay Bushkov, Stanislav Moiseev, Aleksandr Beznosikov

CoRR, February, 2026

Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers.

Artem Riabinin, Andrey Veprikov, Arman Bolatov, Martin Takác, Aleksandr Beznosikov

CoRR, February, 2026

Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry.

Vladimir Solodkin, Andrey Veprikov, Alexander Chernyavskiy, Aleksandr Beznosikov

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A mathematical model of the hidden feedback loop effect in machine learning systems.

Andrey Veprikov, Alexander Afanasyev, Anton Khritankov

Knowl. Inf. Syst., December, 2025

DyKAF: Dynamical Kronecker Approximation of the Fisher Information Matrix for Gradient Preconditioning.

Nikolay Yudin, Ekaterina Grishina, Andrey Veprikov, Alexandr Beznosikov, Maxim V. Rakhuba

CoRR, November, 2025

Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods.

Andrey Veprikov, Arman Bolatov, Samuel Horváth, Aleksandr Beznosikov, Martin Takác, Slavomír Hanzely

CoRR, October, 2025

Faster Than SVD, Smarter Than SGD: The OPLoRA Alternating Update.

Abdulla Jasem Almansoori, Maria Ivanova, Andrey Veprikov, Aleksandr Beznosikov, Samuel Horváth, Martin Takác

CoRR, September, 2025

Aligning Distributionally Robust Optimization with Practical Deep Learning Needs.

Dmitrii Feoktistov, Igor Ignashin, Andrey Veprikov, Nikita Borovko, Alexander Bogdanov, Savelii Chezhegov, Aleksandr Beznosikov

CoRR, August, 2025

Leveraging Coordinate Momentum in SignSGD and Muon: Memory-Optimized Zero-Order.

Egor Petrov, Grigoriy Evseev, Aleksey Antonov, Andrey Veprikov, Pavel Plyusnin, Nikolay Bushkov, Stanislav Moiseev, Aleksandr Beznosikov

CoRR, June, 2025

WeightLoRA: Keep Only Necessary Adapters.

Andrey Veprikov, Vladimir Solodkin, Alexander Zyl, Andrey V. Savchenko, Aleksandr Beznosikov

CoRR, June, 2025

2024

A Mathematical Model of the Hidden Feedback Loop Effect in Machine Learning Systems.

Andrey Veprikov, Alexander Afanasiev, Anton Khritankov

CoRR, 2024