704 citations · 858 across the 12 of their papers we have counts for
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stat.ML2022
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
Tatjana Chavdarova, Tong Yang, Matteo Pagliardini +1
Yang et al. (2023) recently showed how to use first-order gradient methods to solve general variational inequalities (VIs) under a limiting assumption that analytic solutions of sp…
stat.ML2020★ 4 cited
Taming GANs with Lookahead-Minmax
Tatjana Chavdarova, Matteo Pagliardini, Sebastian U. Stich +2
Generative Adversarial Networks are notoriously challenging to train. The underlying minmax optimization is highly susceptible to the variance of the stochastic gradient and the ro…