A Subsampling Line-Search Method with Second-Order Results
In many contemporary optimization problems such as those arising in machine learning, it can be computationally challenging or even infeasible to evaluate an entire function or its derivatives. Thi…
Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Non…
Worst-case complexity guarantees for nonconvex optimization algorithms have been a topic of growing interest. Multiple frameworks that achieve the best known complexity bounds among a broad class o…
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