CLion achieves O(1/N) generalization error and O(√d / T^{1/4}) convergence for nonconvex stochastic optimization, improving on Lion's O(1/(N τ^T)) bound.
Lectures on convex optimization, volume 137
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ULS provides minimax-optimal estimation of remaining-data parameters in machine unlearning with limited access and decomposes error into oracle plus unlearning cost terms.
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CLion: Efficient Cautious Lion Optimizer with Enhanced Generalization
CLion achieves O(1/N) generalization error and O(√d / T^{1/4}) convergence for nonconvex stochastic optimization, improving on Lion's O(1/(N τ^T)) bound.
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Efficient machine unlearning with minimax optimality
ULS provides minimax-optimal estimation of remaining-data parameters in machine unlearning with limited access and decomposes error into oracle plus unlearning cost terms.