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20162022
most citedOptimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

114 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2020★ 7 cited

Regret minimization in stochastic non-convex learning via a proximal-gradient approach

Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher

Motivated by applications in machine learning and operations research, we study regret minimization with stochastic first-order oracle feedback in online constrained, and possibly…

cs.LG2018★ 114 cited

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati +3

Owing to their connection with generative adversarial networks (GANs), saddle-point problems have recently attracted considerable interest in machine learning and beyond. By necess…