6 citations · 6 across the 3 of their papers we have counts for
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math.OC2022
Stochastic optimization in digital pre-distortion of the signal
A. V. Alpatov, E. A. Peters, D. A. Pasechnyuk +1
In this paper, we test the performance of some modern stochastic optimization methods and practices in application to digital pre-distortion problem, that is a valuable part of pro…
math.OC2016
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods
Lev Bogolubsky, Pavel Dvurechensky, Alexander Gasnikov +5
In this paper, we consider a non-convex loss-minimization problem of learning Supervised PageRank models, which can account for some properties not considered by classical approach…