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Miscellaneous AI research – Page 124 · SOTA2 Research
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Federated Learning Optimization
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Finding (epsilon, delta)-approximate Second-Order Stationary Points (SOSPs)
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Offline up-concave maximization
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Gradient computation for SDEs
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Non-stationary up-concave maximization
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Nonconvex minimax optimization
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Constrained Non-convex Optimization
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Solving Variational Inequalities
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Conditional Bilevel Optimization
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Primal optimization
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Dual optimization
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Convergence Rate Analysis
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Parallel Learning
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k-capped simplex projection
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Online Prediction from Experts
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Finding approximate Quantal Response Equilibrium
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equilibrium models
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First-order optimization with biased compressors
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Finding approximate Nash Equilibrium
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hyper-representation
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data hyper-cleaning
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Finding epsilon-QRE
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few-shot meta-learning
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Finding epsilon-NE
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noisy fine-tuning
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Finding Second-Order Stationary Point (SOSP)
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Finding first-order stationary points
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Second-Order Stationary Point Finding
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Strongly monotone stochastic (finite-sum) decentralized variational inequality
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Finding an epsilon-solution
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SDE generation
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Strongly monotone deterministic decentralized variational inequality
Page 124 of 125
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