Sebastian Schulze

12 papers A* 2A 1Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Float8@2bits: Entropy Coding Enables Data-Free Model Compression.
CoRR
Patrick Putzky, Martin Genzel, Mattes Mollenhauer, Sebastian Schulze, Thomas Wollmann, Stefan Dietzel
2025 J jnl
Choose Your Model Size: Any Compression by a Single Gradient Descent.
CoRR
Martin Genzel, Patrick Putzky, Pengfei Zhao, Sebastian Schulze, Mattes Mollenhauer, Robert Seidel, Stefan Dietzel, Thomas Wollmann
2025 J jnl
Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation.
Trans. Mach. Learn. Res.
Martin Genzel, Patrick Putzky, Pengfei Zhao, Sebastian Schulze, Mattes Mollenhauer, Robert Seidel, Stefan Dietzel, Thomas Wollmann
2023 J jnl
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.
CoRR
Julien Siems, Maximilian Schambach, Sebastian Schulze, Johannes S. Otterbach
2022 A conf
Marginalising over Stationary Kernels with Bayesian Quadrature.
AISTATS
Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts
2021 J jnl
Marginalising over Stationary Kernels with Bayesian Quadrature.
CoRR
Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts
2021 J jnl
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.
J. Mach. Learn. Res.
Luisa M. Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson
2020 A* conf
Bayesian Optimization for Iterative Learning.
NeurIPS
Vu Nguyen, Sebastian Schulze, Michael A. Osborne
2020 A* conf
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.
ICLR
Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
2019 J jnl
Bayesian Optimization for Iterative Learning.
CoRR
Vu Nguyen, Sebastian Schulze, Michael A. Osborne
2019 J jnl
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.
CoRR
Luisa M. Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson
2018 J jnl
Active Reinforcement Learning with Monte-Carlo Tree Search.
CoRR
Sebastian Schulze, Owain Evans