5 papers
Optimal Parameter-Free Second-order Acceleration with Inexact Hessians under Generalized Smoothness
Artem Agafonov, Aslan Ashabokov, Alexander D'yakonov +3
We study second-order convex optimization under generalized Hessian smoothness, where the local Hessian Lipschitz constant may grow linearly with the gradient norm. For inexact Hes…
Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling
Maksim Utushkin, Andrei Ovsiannikov, Alexander D'yakonov
Friend recommendation is inherently graph-structured: the relevance of a potential connection depends on multi-hop social context rather than user attributes alone. However, deploy…
Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction
Sofia Gulevskaia, Mikhail Trapeznikov, Aleksandr Poslavsky +1
Accurate watch-time (WT) prediction is an important requirement for short-video recommendations. Yet WT distributions are near-zero-inflated, long-tailed and multimodal. The recent…
Decentralized Inexact Cubic Newton Method with Consensus Procedure
Artem Agafonov, Anton Novitskii, Alexander Rogozin +5
Distributed optimization is widely used in large-scale and privacy-preserving machine learning, where each agent stores a local objective and communicates only with its neighbors i…
VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation
Aleksandr Poslavsky, Alexander D'yakonov, Yuriy Dorn +1
Short-video recommendation presents unique challenges, such as modeling rapid user interest shifts from implicit feedback, but progress is constrained by a lack of large-scale open…