variational inequality
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Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
This work was done while M. Menart was at The Ohio State University.
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Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
V ariational inequalities represent a broad class of problems, including minimization and min-max problems, commonly found in machine learning.
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Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
For this reason, the ML community started focusing on non-monotone problems with extra structural properties.
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An adaptive Mirror-Prox method for variational inequalities with singular operators
Kimon Antonakopoulos, Veronica Belmega, Panayotis Mertikopoulos
One of the main reasons for their extensive applicability is that they comprise a flexible optimization framework which can simultaneously account for loss function minimization, saddle-point, game-theoretic, and fixed point problems.
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Technology: Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.34)
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