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20092026
most citedSGD and Hogwild! Convergence Without the Bounded Gradients Assumption

99 citations · 600 across the 38 of their papers we have counts for

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2 papers · 1 filter

math.OC2023★ 1 cited

First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity

Katya Scheinberg, Miaolan Xie

We present high-probability (and expectation) complexity bounds for two versions of stochastic adaptive regularization methods with cubics (SARC), also known as regularized Newton…

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…