Randomized Gradient-Free Methods in Convex Optimization

Author:

Gasnikov Alexander,Dvinskikh Darina,Dvurechensky Pavel,Gorbunov Eduard,Beznosikov Aleksandr,Lobanov Alexander

Publisher

Springer International Publishing

Reference98 articles.

1. Agarwal A, Dekel O, Xiao L (2010) Optimal algorithms for online convex optimization with multi-point bandit feedback. In: Colt. Citeseer, pp 28–40

2. Agarwal A, Foster DP, Hsu DJ, Kakade SM, Rakhlin A (2011) Stochastic convex optimization with bandit feedback. Adv Neural Inf Process Syst 24:1–9

3. Akhavan A, Chzhen E, Pontil M, Tsybakov AB (2022) A gradient estimator via l1-randomization for online zero-order optimization with two point feedback. arXiv preprint arXiv:2205.13910

4. Akhavan A, Pontil M, Tsybakov A (2020) Exploiting higher order smoothness in derivative-free optimization and continuous bandits. Adv Neural Inf Process Syst 33:9017–9027

5. Akhavan A, Pontil M, Tsybakov A (2021) Distributed zero-order optimization under adversarial noise. Adv Neural Inf Process Syst 34:10209–10220

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