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math.OC2025
Better LMO-based Momentum Methods with Second-Order Information
Sarit Khirirat, Abdurakhmon Sadiev, Yury Demidovich +1
The use of momentum in stochastic optimization algorithms has shown empirical success across a range of machine learning tasks. Recently, a new class of stochastic momentum algorit…
math.OC2025
Improved Convergence in Parameter-Agnostic Error Feedback through Momentum
Abdurakhmon Sadiev, Yury Demidovich, Igor Sokolov +3
Communication compression is essential for scalable distributed training of modern machine learning models, but it often degrades convergence due to the noise it introduces. Error…