Sebastian Kassing

Talks

2024




• CRC 1283 Retreat, Hofgeismar, 27.07.2024
  Understanding the Geometry of the Loss Landscape to Accelerate Stochastic Optimization Algorithms.

• 25th International Symposium on Mathematical Programming, Montreal, 22.07.2024
  Convergence of Momentum Stochastic Gradient Descent.

• CRC 1283 Seminar, Bielefeld, 12.07.2024
  On Riemannian Optimization, Propagation of Chaos, and their Connections to Machine Learning.

• Research Seminar Stochastics, Mannheim, 04.07.2024
  Convergence of Momentum Stochastic Gradient Descent.

• Stochastic Dynamics and Stochastic Equations, Bernoulli Center, Lausanne, 26.03.2024
  Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.




2023




• Young Researchers in Stochastic Control and Games, Bielefeld, 14.12.2023
  Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.

• European Conference on Computational Optimization (EUCCO), Heidelberg, 26.09.2023
  Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.

• Oberseminar Stochastik, Jena, 29.07.2023
  Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.

• SIAM Conference on Optimization (OP23), Seattle, 02.06.2023
  Convergence of Stochastic Gradient Descent for analytic target functions.

• UnRAVeL guest talk, RWTH Aachen, 23.05.2023
  On the existence of minimizers in neural network optimisation landscapes.

• German Probability and Statistics days, Essen, 08.03.2023
  Convergence of Stochastic Gradient Descent for analytic target functions.




2022




• Colloquium at the Centre for Analysis, Scientific Computing and Applications (CASA), TU Eindhoven, 16.11.2022
  Convergence of Stochastic Gradient Descent for analytic target functions.

• Math Machine Learning seminar MPI MIS + UCLA, online, 07.07.2022
  Convergence of Stochastic Gradient Descent for analytic target functions.




2021




• Bielefeld-Leipzig online Seminar: Mathematics of Machine Learning II, 27.10.2021
  Convergence of Gradient based Algorithms.
  

• Conference on Mathematics of Machine Learning, Bielefeld University, 07.08.2021
  Convergence of Stochastic Gradient Descent for analytic target functions.

• Bernoulli-IMS 10th World Congress in Probability and Statistics, 21.07.2021
  Convergence of stochastic gradient descent for Lojasiewicz-landscapes.

• Oberseminar Stochastik, WWU Münster, 07.07.2021
  Convergence of cooling down gradient flow SDEs.

• OneWorld Machine Learning Seminar, online, 09.06.2021
  Convergence of Stochastic Gradient Descent for analytic target functions.




2020




• Oberseminar Stochastik, WWU Münster, 11.11.2020
  Collaborating Algorithms in SGD - Exploration vs. Exploitation.




2019




• Pizza-Seminar, WWU Münster, 04.12.2019
  CLTs for Stochastic Approximation Schemes with Averaging for Stable Manifolds.

• Doktorandentreffen Stochastik, TU Darmstadt, 01.08.2019
  CLTs for Stochastic Approximation Schemes for Attracting Manifolds.