16 citations · 24 across the 2 of their papers we have counts for
2 papers
math.OC2022★ 16 cited
Randomized gradient-free methods in convex optimization
Alexander Gasnikov, Darina Dvinskikh, Pavel Dvurechensky +3
This review presents modern gradient-free methods to solve convex optimization problems. By gradient-free methods, we mean those that use only (noisy) realizations of the objective…
math.OC2022★ 8 cited
Decentralized convex optimization over time-varying graphs: a survey
Alexander Rogozin, Alexander Gasnikov, Aleksander Beznosikov +1
Decentralized optimization over time-varying networks has a wide range of applications in distributed learning, signal processing and various distributed control problems. The agen…