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

114 citations

researchers with a paper here

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

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Showing 2020 · math.OCShow all

2 papers · 2 filters

math.OC2020★ 13 cited

The limits of min-max optimization algorithms: convergence to spurious non-critical sets

Ya-Ping Hsieh, Panayotis Mertikopoulos, Volkan Cevher

Compared to ordinary function minimization problems, min-max optimization algorithms encounter far greater challenges because of the existence of periodic cycles and similar phenom…

math.OC2020★ 26 cited

Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling

Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick +1

Owing to their stability and convergence speed, extragradient methods have become a staple for solving large-scale saddle-point problems in machine learning. The basic premise of t…