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Newton-type Methods for Minimax Optimization
Differential games, in particular two-player sequential games (a.k.a. mi...
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FedMGDA+: Federated Learning meets Multi-objective Optimization
Federated learning has emerged as a promising, massively distributed way...
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Optimality and Stability in Non-Convex-Non-Concave Min-Max Optimization
Convergence to a saddle point for convex-concave functions has been stud...
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Convergence Behaviour of Some Gradient-Based Methods on Bilinear Zero-Sum Games
Min-max formulations have attracted great attention in the ML community ...
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Convergence Behaviour of Some Gradient-Based Methods on Bilinear Games
Min-max optimization has attracted much attention in the machine learnin...
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Comparing EM with GD in Mixture Models of Two Components
The expectation-maximization (EM) algorithm has been widely used in mini...
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Guojun Zhang
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