Sebastian Kassing

16 papers Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Approximate Ascent Approach To Prove Convergence of PPO.
CoRR
Leif Döring, Daniel Schmidt, Moritz Melcher, Sebastian Kassing, Benedikt Wille, Tilman Aach, Simon Weissmann
2026 J jnl
The Role of Target Update Frequencies in Q-Learning.
CoRR
Simon Weissmann, Tilman Aach, Benedikt Wille, Sebastian Kassing, Leif Döring
2025 J jnl
ODE approximation for the Adam algorithm: General and overparametrized setting.
CoRR
Steffen Dereich, Arnulf Jentzen, Sebastian Kassing
2024 J jnl
On the Existence of Minimizers in Shallow Residual ReLU Neural Network Optimization Landscapes.
SIAM J. Numer. Anal.
Steffen Dereich, Arnulf Jentzen, Sebastian Kassing
2024 J jnl
Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality.
CoRR
Sebastian Kassing, Simon Weissmann
2024 J jnl
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent.
CoRR
Benjamin Gess, Sebastian Kassing, Nimit Rana
2024 J jnl
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent.
SIAM J. Control. Optim.
Benjamin Gess, Sebastian Kassing, Nimit Rana
2024 J jnl
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.
J. Mach. Learn. Res.
Benjamin Gess, Sebastian Kassing, Vitalii Konarovskyi
2023 J jnl
Convergence rates for momentum stochastic gradient descent with noise of machine learning type.
CoRR
Benjamin Gess, Sebastian Kassing
2023 J jnl
On the existence of minimizers in shallow residual ReLU neural network optimization landscapes.
CoRR
Steffen Dereich, Arnulf Jentzen, Sebastian Kassing
2023 J jnl
On the existence of optimal shallow feedforward networks with ReLU activation.
CoRR
Steffen Dereich, Sebastian Kassing
2023 J jnl
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.
CoRR
Benjamin Gess, Sebastian Kassing, Vitalii Konarovskyi
2022 J jnl
On minimal representations of shallow ReLU networks.
Neural Networks
Steffen Dereich, Sebastian Kassing
2021 J jnl
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes.
CoRR
Steffen Dereich, Sebastian Kassing
2021 J jnl
On minimal representations of shallow ReLU networks.
CoRR
Steffen Dereich, Sebastian Kassing
2021 — —
Stochastic approximation with a focus on machine learning applications.
Sebastian Kassing