Extragradient
PulseAugur coverage of Extragradient — every cluster mentioning Extragradient across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New extragradient method achieves optimal convergence for minimax optimization
Researchers have developed a new single-loop extragradient method for solving smooth strongly convex--strongly concave minimax optimization problems. This method, which requires only two full-gradient evaluations per it…
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New EISAM optimizer enhances deep learning generalization
Researchers have introduced Extragradient-Inspired Sharpness-Aware Minimization (EISAM), a new optimizer designed to improve generalization in deep learning. EISAM employs a two-step process, involving a prediction and …
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New RAMPAGE method offers unbiased gradient extrapolation for variational inequalities
Researchers have introduced RAMPAGE, a novel method for solving Variational Inequalities (VIs) that addresses discretization bias inherent in the Extragradient (EG) method. RAMPAGE and its variance-reduced counterpart, …