Julia Vinogradska

CoRR, 2024

Information-Theoretic Safe Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Meta-Learning with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Value-Distributional Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Model-Based Uncertainty in Value Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Information-Theoretic Safe Exploration with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transfer Learning with Gaussian Processes for Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Numerical Quadrature for Probabilistic Policy Search.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation.

[BibT_eX]

[DOI]

PhD thesis, 2018

Approximate Value Iteration Based on Numerical Quadrature.

[BibT_eX]

[DOI]

Bastian Bischoff