Stability of Controllers for Gaussian Process Forward Models. - Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Anne Romer; Henner Schmidt; Jan Peters 001 (ICML, 2016)

Stability of Controllers for Gaussian Process Dynamics. - Julia Vinogradska; Bastian Bischoff; Duy Nguyen-Tuong; Jan Peters 001 (J. Mach. Learn. Res., 2017)

Approximate Value Iteration Based on Numerical Quadrature. - Julia Vinogradska; Bastian Bischoff; Jan Peters 001 (IEEE Robotics Autom. Lett., 2018)

Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation. - Julia Vinogradska (2018)

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. - Lukas P. Fröhlich; Edgar D. Klenske; Julia Vinogradska; Christian Daniel; Melanie N. Zeilinger (AISTATS, 2020)

Numerical Quadrature for Probabilistic Policy Search. - Julia Vinogradska; Bastian Bischoff; Jan Achterhold; Torsten Koller; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Transfer Learning with Gaussian Processes for Bayesian Optimization. - Petru Tighineanu; Kathrin Skubch; Paul Baireuther; Attila Reiss; Felix Berkenkamp; Julia Vinogradska (AISTATS, 2022)

Information-Theoretic Safe Exploration with Gaussian Processes. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (NeurIPS, 2022)

Model-Based Uncertainty in Value Functions. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (AISTATS, 2023)

Value-Distributional Model-Based Reinforcement Learning. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Scalable Meta-Learning with Gaussian Processes. - Petru Tighineanu; Lukas Grossberger; Paul Baireuther; Kathrin Skubch; Stefan Falkner; Julia Vinogradska; Felix Berkenkamp (AISTATS, 2024)

Information-Theoretic Safe Bayesian Optimization. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2024)

Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (Trans. Mach. Learn. Res., 2025)