Archiv: Stochastik Rhein-Main

29.11.2023 Andere Veranstaltungen

Benjamin Gess (Universität Bielefeld & MPI Leipzig)

Mathematisches Kolloquium TU Darmstadt

24.04.2024 Andere Veranstaltungen

Christoph Thäle (Ruhr-Universität Bochum)

Mathematisches Kolloquium TU Darmstadt

12.07.2022 Oberseminar Mainz

Manuel Esser (Universität Bonn)

Metastability and multi-scale analysis of individual-based population models

20.02.2019 Stochastik-Kolloquium Frankfurt

Metrische Multidimensionale Skalierung

07.07.2017 Rhein-Main-Kolloquium

Mikhail Lifshits ((St. Petersburg))
Vitali Wachtel ((Universität Augsburg))

Mikhail Lifshits (St. Petersburg): “Energy saving approximation of random processes”; Vitali Wachtel (Augsburg):First-passage times over moving boundaries for random walks with non-identically distributed increments.

02.–04.09.2019 Andere Veranstaltungen

Miniworkshop Multiple merger coalescents: population models and inference

28.–30.08.2019 Andere Veranstaltungen

MiniWORKshop: Stochastic processes on evolving networks

01.06.2023 Oberseminar Darmstadt

Ercan Sönmez (Universität Klagenfurt)

Mixed fractional stochastic differential equations

28.05.2024 Oberseminar Mainz

Stein Andreas Bethuelsen (University of Bergen)

Mixing for Poisson representable processes and the contact process

In this talk I will present some new insights on so-called Poisson representable processes, a general class of {0,1}-valued processes recently introduced by Forsström, Gantert and Steif. Particularly, I will discuss a new characteristic of these in terms of certain mixing properties. As an application thereof, I will argue that the upper invariant measure of the contact process on Z^d is not Poisson representable, thereby answering a question raised in the above mentioned work. This relies on the upper invariant measure satisfying certain directional mixing properties, but not their spatial equivalent. Moreover, the general approach extends to other processes having similar properties, such as the plus phase of the Ising model on Z^2 in the phase transition regime. weiterlesen

07.11.2017 Oberseminar Mainz

Bjarki Eldon (Museum für Naturkunde, Berlin)

Modeling gene genealogies in highly fecund populations

06.06.2019 Oberseminar Darmstadt

Benjamin Lees (University of Leeds)

Monotonicity of correlations for general loop soups

11.07.2023 Oberseminar Mainz

Jan Lukas Igelbrink (Universität Mainz Fachbereich Mathematik und Goethe-Universität Frankfurt/M.)

Muller's ratchet with tournament selection: near-criticality and links to the classical ratchet

17.11.2016 Oberseminar Darmstadt

Benjamin Lees (University of Leeds)

Néel order using a random loop model

07.05.2024 Oberseminar Mainz

Prof. Dr. Steffen Dereich (Universität Münster)

New error bounds for the Adam optimisation algorithm

In this talk, I will give an introduction concerning the training of artifcial neural networks based on stochastic gradient descent algorithms. Whereas there are various approaches for carrying out an error analysis for classical stochastic gradient descent, significantly less is known for more elaborate algorithms such as the Adam algorithm. Recently, we established a new approach which allows us to provide error estimates and to reduce this gap. The talk is based on joint work with Arnulf Jentzen. weiterlesen

08.11.2017 Stochastik-Kolloquium Frankfurt

Prof. Dr. Sebastian Doehler (Hochschule Darmstadt)

New false discovery rate controlling procedures for discrete data

11.05.2021 Oberseminar Mainz

Iulia Dahmer (Johannes-Gutenberg-Universität Mainz)

Oberseminar Stochastik

01.06.2021 Oberseminar Mainz

Dr. Christian Mönch (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

08.06.2021 Oberseminar Mainz

Andreas Meier (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

25.05.2021 Oberseminar Mainz

Leonard Bauer (Johannes Gutenberg-Universität Mainz)

Oberseminar Stochastik

07.02.2023 Oberseminar Mainz

Prof. Dr. Steffen Dereich (Universität Münster)

Oberseminar Stochastik Mainz - 07.05.2024 - Prof. Dr. Steffen Dereich (WWU Münster)

Titel: New error bounds for the Adam optimisation algorithm Abstract: In this talk, I will give an introduction concerning the training of artificial neural networks based on stochastic gradient descent algorithms. Whereas there are various approaches for carrying out an error analysis for classical stochastic gradient descent, significantly less is known for more elaborate algorithms such as the Adam algorithm. Recently, we established a new approach which allows us to provide error estimates and to reduce this gap. The talk is based on joint work with Arnulf Jentzen. weiterlesen

Veranstaltungsarchiv

Events

Mathematisches Kolloquium TU Darmstadt

Mathematisches Kolloquium TU Darmstadt

Metastability and multi-scale analysis of individual-based population models

Metrische Multidimensionale Skalierung

Mikhail Lifshits (St. Petersburg): “Energy saving approximation of random processes”; Vitali Wachtel (Augsburg):First-passage times over moving boundaries for random walks with non-identically distributed increments.

Miniworkshop Multiple merger coalescents: population models and inference

MiniWORKshop: Stochastic processes on evolving networks

Mixed fractional stochastic differential equations

Mixing for Poisson representable processes and the contact process

Modeling gene genealogies in highly fecund populations

Monotonicity of correlations for general loop soups

Muller's ratchet with tournament selection: near-criticality and links to the classical ratchet

Néel order using a random loop model

New error bounds for the Adam optimisation algorithm

New false discovery rate controlling procedures for discrete data

Oberseminar Stochastik

Oberseminar Stochastik

Oberseminar Stochastik

Oberseminar Stochastik

Oberseminar Stochastik Mainz - 07.05.2024 - Prof. Dr. Steffen Dereich (WWU Münster)

Überblick

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