Ansicht nach Raum MA 544

Mathematics of Machine Learning (Blockseminar)

Blockseminar 05.-19.09.2025

Inhalt:

In this hybrid course we aim to get acquainted with some of the recent progress in the mathematical understanding and theory of machine learning. Particular emphasis will be laid upon the implicit bias in supervised learning, as well as upon generative modelling.

The aim of the course is to get an overview of a series of recent articles and the methods developed therein.

The course is directed to non experts with a solid background in mathematics aiming to get an idea of recent progress in the mathematics of machine learning.

Active contribution in form of a presentation of a research paper (to be chosen) is required for each participant.

Link to seminar webpage (password on request via Alexandra Schulte): https://www.bgess.de/index.php/teaching/bielefeld-leipzig-online-seminar-ss25-mathematics-of-machine-learning/"

Prerequisities:

"Wahrscheinlichkeitstheorie 1" and bits of "Wahrscheinlichkeitstheorie 2".

Mathematics of Machine Learning (Blockseminar)

Blockseminar 05.-19.09.2025

Inhalt:

In this hybrid course we aim to get acquainted with some of the recent progress in the mathematical understanding and theory of machine learning. Particular emphasis will be laid upon the implicit bias in supervised learning, as well as upon generative modelling.

The aim of the course is to get an overview of a series of recent articles and the methods developed therein.

The course is directed to non experts with a solid background in mathematics aiming to get an idea of recent progress in the mathematics of machine learning.

Active contribution in form of a presentation of a research paper (to be chosen) is required for each participant.

Link to seminar webpage (password on request via Alexandra Schulte): https://www.bgess.de/index.php/teaching/bielefeld-leipzig-online-seminar-ss25-mathematics-of-machine-learning/"

Mathematics of Machine Learning (Blockseminar)

Blockseminar 05.-19.09.2025

Inhalt:

In this hybrid course we aim to get acquainted with some of the recent progress in the mathematical understanding and theory of machine learning. Particular emphasis will be laid upon the implicit bias in supervised learning, as well as upon generative modelling.

The aim of the course is to get an overview of a series of recent articles and the methods developed therein.

The course is directed to non experts with a solid background in mathematics aiming to get an idea of recent progress in the mathematics of machine learning.

Active contribution in form of a presentation of a research paper (to be chosen) is required for each participant.

Link to seminar webpage (password on request via Alexandra Schulte): https://www.bgess.de/index.php/teaching/bielefeld-leipzig-online-seminar-ss25-mathematics-of-machine-learning/"

Mathematics of Machine Learning (Blockseminar)

Blockseminar 05.-19.09.2025

Inhalt:

In this hybrid course we aim to get acquainted with some of the recent progress in the mathematical understanding and theory of machine learning. Particular emphasis will be laid upon the implicit bias in supervised learning, as well as upon generative modelling.

The aim of the course is to get an overview of a series of recent articles and the methods developed therein.

The course is directed to non experts with a solid background in mathematics aiming to get an idea of recent progress in the mathematics of machine learning.

Active contribution in form of a presentation of a research paper (to be chosen) is required for each participant.

Link to seminar webpage (password on request via Alexandra Schulte): https://www.bgess.de/index.php/teaching/bielefeld-leipzig-online-seminar-ss25-mathematics-of-machine-learning/"

Mathematics of Machine Learning (Blockseminar)

Blockseminar 05.-19.09.2025

Inhalt:

In this hybrid course we aim to get acquainted with some of the recent progress in the mathematical understanding and theory of machine learning. Particular emphasis will be laid upon the implicit bias in supervised learning, as well as upon generative modelling.

The aim of the course is to get an overview of a series of recent articles and the methods developed therein.

The course is directed to non experts with a solid background in mathematics aiming to get an idea of recent progress in the mathematics of machine learning.

Active contribution in form of a presentation of a research paper (to be chosen) is required for each participant.

Link to seminar webpage (password on request via Alexandra Schulte): https://www.bgess.de/index.php/teaching/bielefeld-leipzig-online-seminar-ss25-mathematics-of-machine-learning/"