Steffen Dereich

Orcid: 0000-0001-9591-9340

According to our database1, Steffen Dereich authored at least 16 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Convergence rates for the Adam optimizer.
CoRR, 2024

Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning rates.
CoRR, 2024

Learning rate adaptive stochastic gradient descent optimization methods: numerical simulations for deep learning methods for partial differential equations and convergence analyses.
CoRR, 2024

2023
On the existence of optimal shallow feedforward networks with ReLU activation.
CoRR, 2023

On the existence of minimizers in shallow residual ReLU neural network optimization landscapes.
CoRR, 2023

2022
On minimal representations of shallow ReLU networks.
Neural Networks, 2022

2021
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes.
CoRR, 2021

2019
General multilevel adaptations for stochastic approximation algorithms of Robbins-Monro and Polyak-Ruppert type.
Numerische Mathematik, 2019

2015
Cycle length distributions in random permutations with diverging cycle weights.
Random Struct. Algorithms, 2015

Quadrature for Self-affine Distributions on R<sup>d</sup>.
Found. Comput. Math., 2015

2014
Robust Analysis of Preferential Attachment Models with Fitness.
Comb. Probab. Comput., 2014

Multilevel Monte Carlo Implementation for SDEs Driven by Truncated Stable Processes.
Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014

2009
High resolution quantization and entropy coding of jump processes.
J. Complex., 2009

Infinite-Dimensional Quadrature and Approximation of Distributions.
Found. Comput. Math., 2009

The Coding Complexity of Lévy Processes.
Found. Comput. Math., 2009

2003
High resolution coding of stochastic processes and small ball probabilities.
PhD thesis, 2003


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