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math.OC2023
Sample Complexity Analysis for Adaptive Optimization Algorithms with Stochastic Oracles
Billy Jin, Katya Scheinberg, Miaolan Xie
Several classical adaptive optimization algorithms, such as line search and trust region methods, have been recently extended to stochastic settings where function values, gradient…
math.OC2021★ 2 cited
High Probability Complexity Bounds for Adaptive Step Search Based on Stochastic Oracles
Billy Jin, Katya Scheinberg, Miaolan Xie
We consider a step search method for continuous optimization under a stochastic setting where the function values and gradients are available only through inexact probabilistic zer…