Schulze, Sebastian

5 publications

TMLR 2025 Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation Martin Genzel, Patrick Putzky, Pengfei Zhao, Sebastian Schulze, Mattes Mollenhauer, Robert Seidel, Stefan Dietzel, Thomas Wollmann

AISTATS 2022 Marginalising over Stationary Kernels with Bayesian Quadrature Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen Roberts

JMLR 2021 VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning Luisa Zintgraf, Sebastian Schulze, Cong Lu, Leo Feng, Maximilian Igl, Kyriacos Shiarlis, Yarin Gal, Katja Hofmann, Shimon Whiteson

NeurIPS 2020 Bayesian Optimization for Iterative Learning Vu Nguyen, Sebastian Schulze, Michael Osborne

ICLR 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning Luisa Zintgraf, Kyriacos Shiarlis, Maximilian Igl, Sebastian Schulze, Yarin Gal, Katja Hofmann, Shimon Whiteson