29 citations · 29 across the 1 of their papers we have counts for
2 papers
q-fin.TR2020★ 29 cited
Using Reinforcement Learning in the Algorithmic Trading Problem
Evgeny Ponomarev, Ivan Oseledets, Andrzej Cichocki
The development of reinforced learning methods has extended application to many areas including algorithmic trading. In this paper trading on the stock exchange is interpreted into…
cs.LG2019
MUSCO: Multi-Stage Compression of neural networks
Julia Gusak, Maksym Kholiavchenko, Evgeny Ponomarev +3
The low-rank tensor approximation is very promising for the compression of deep neural networks. We propose a new simple and efficient iterative approach, which alternates low-rank…