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math.OC2023★ 1 cited
Advancing the lower bounds: An accelerated, stochastic, second-order method with optimal adaptation to inexactness
Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov +4
We present a new accelerated stochastic second-order method that is robust to both gradient and Hessian inexactness, which occurs typically in machine learning. We establish theore…
cs.LG2023
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk +2
We consider monotone variational inequality (VI) problems in multi-GPU settings where multiple processors/workers/clients have access to local stochastic dual vectors. This setting…