Solving Weakly-Convex-Weakly-Concave Saddle-Point Problems as Successive Strongly Monotone Variational Inequalities

By Qihang Lin, Mingrui Liu, Hassan Rafique, Tianbao Yang. 2018

36 citations recorded by the source corpus.

How researchers see this paper

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1. Bo Dai
2. Ofir Nachum
3. Lihong Li
4. Niao He
5. Sergey Levine
6. Ruiyi Zhang
7. Dale Schuurmans
8. Nan Jiang

Citations in the corpus

• GenDICE: Generalized Offline Estimation of Stationary Values (2020, background): “For the general neural network for (τ, f), although there are several progress recently (Lin et al., 2018; Jin et al., 2019; Lin et al., 2019) about the convergence to a stationary point or local minimum, it remains a largely open problem to quantify the optimization error, which is out of the…”
• Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems (2020, background): “…recent surge in research on solving minimax optimization beyond the convex-concave regime [Sinha et al., 2017, Chen et al., 2017, Qian et al., 2019, Thekumparampil et al., 2019, Lin et al., 2018, Nouiehed et al., 2019, Abernethy et al., 2019], but they differ from our work from various perspectives.”