Suchergebnisse - "First order optimization algorithms"

Tradeoffs Between Convergence Rate and Noise Amplification for Momentum-Based Accelerated Optimization Algorithms von Mohammadi, Hesameddin, Razaviyayn, Meisam, Jovanovic, Mihailo R.

“… In this article, we study momentum-based first-order optimization algorithms in which the iterations utilize information from the two previous steps and are subject to an additive white noise …”
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Noise amplifiation of momentum-based optimization algorithms von Mohammadi, Hesameddin, Razaviyayn, Meisam, Jovanovic, Mihailo R.

“… We study momentum-based first-order optimization algorithms in which the iterations utilize information from the two previous steps and are subject to additive white noise …”
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Theory and Methods for Stochastic, Accelerated, and Distributed Optimization von Can, Bugra

“… This thesis consists of two parts.Part I (Chapters 1–3) concerns momentum-based first-order optimization algorithms for stochastic optimization where we have only access to stochastic (noisy …”
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Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms von Mohammadi, Hesameddin, Razaviyayn, Meisam, Jovanović, Mihailo R

“… We study momentum-based first-order optimization algorithms in which the iterations utilize information from the two previous steps and are subject to an additive white noise …”
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Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity von Zhao, Jun, Yan, Guan’ao, Zhang, Yi

“… High-dimensional data subject to heavy-tailed phenomena and heterogeneity are commonly encountered in various scientific fields and bring new challenges to the classical statistical methods …”
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Comparing Imperialist Competitive Algorithm With Backpropagation Algorithms For Training Feedforward Neural Network von Zanganeh, Maryam, Mirabedini, Seyed Javad

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Bounding the expected run-time of nonconvex optimization with early stopping von Flynn, Thomas, Yu, Kwang Min, Malik, Abid, D'Imperio, Nicolas, Yoo, Shinjae

“… We develop the approach in the general setting of a first-order optimization algorithm, with possibly …”
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Robust Estimation and Shrinkage in Ultrahigh Dimensional Expectile Regression with Heavy Tails and Variance Heterogeneity von Zhao, Jun, Guan'ao Yan, Zhang, Yi

“… High-dimensional data subject to heavy-tailed phenomena and heterogeneity are commonly encountered in various scientific fields and bring new challenges to the classical statistical methods …”
Volltext