4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.IR2022
Efficient Mixed Dimension Embeddings for Matrix Factorization
Dmitrii Beloborodov, Andrei Zimovnov, Petr Molodyk +1
Despite the prominence of neural network approaches in the field of recommender systems, simple methods such as matrix factorization with quadratic loss are still used in industry…
cs.LG2020★ 4 cited
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Dmitrii Beloborodov, A. E. Ulanov, Jakob N. Foerster +2
Quantum hardware and quantum-inspired algorithms are becoming increasingly popular for combinatorial optimization. However, these algorithms may require careful hyperparameter tuni…