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Julia Vinogradska

Orcid: 0000-0003-1942-2812

According to our database1, Julia Vinogradska authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Information-Theoretic Safe Bayesian Optimization.
[BibTeX]
[DOI]
Alessandro G. Bottero
,
Carlos E. Luis
,
Julia Vinogradska
,
Felix Berkenkamp
,
Jan Peters
CoRR, 2024

2023
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization.
[BibTeX]
[DOI]
Carlos E. Luis
,
Alessandro G. Bottero
,
Julia Vinogradska
,
Felix Berkenkamp
,
Jan Peters
CoRR, 2023

Scalable Meta-Learning with Gaussian Processes.
[BibTeX]
[DOI]
Petru Tighineanu
,
Lukas Grossberger
,
Paul Baireuther
,
Kathrin Skubch
,
Stefan Falkner
,
Julia Vinogradska
,
Felix Berkenkamp
CoRR, 2023

Value-Distributional Model-Based Reinforcement Learning.
[BibTeX]
[DOI]
Carlos E. Luis
,
Alessandro G. Bottero
,
Julia Vinogradska
,
Felix Berkenkamp
,
Jan Peters
CoRR, 2023

Model-Based Uncertainty in Value Functions.
[BibTeX]
[DOI]
Carlos E. Luis
,
Alessandro G. Bottero
,
Julia Vinogradska
,
Felix Berkenkamp
,
Jan Peters
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Information-Theoretic Safe Exploration with Gaussian Processes.
[BibTeX]
[DOI]
Alessandro G. Bottero
,
Carlos E. Luis
,
Julia Vinogradska
,
Felix Berkenkamp
,
Jan Peters
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.
[BibTeX]
[DOI]
Petru Tighineanu
,
Kathrin Skubch
,
Paul Baireuther
,
Attila Reiss
,
Felix Berkenkamp
,
Julia Vinogradska
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020
Numerical Quadrature for Probabilistic Policy Search.
[BibTeX]
[DOI]
Julia Vinogradska
,
Bastian Bischoff
,
Jan Achterhold
,
Torsten Koller
,
Jan Peters
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.
[BibTeX]
[DOI]
Lukas P. Fröhlich
,
Edgar D. Klenske
,
Julia Vinogradska
,
Christian Daniel
,
Melanie N. Zeilinger
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018
Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation.
[BibTeX]
[DOI]
Julia Vinogradska
PhD thesis, 2018

Approximate Value Iteration Based on Numerical Quadrature.
[BibTeX]
[DOI]
Julia Vinogradska
,
Bastian Bischoff
,
Jan Peters
IEEE Robotics Autom. Lett., 2018

2017
Stability of Controllers for Gaussian Process Dynamics.
[BibTeX]
[DOI]
Julia Vinogradska
,
Bastian Bischoff
,
Duy Nguyen-Tuong
,
Jan Peters
J. Mach. Learn. Res., 2017

2016
Stability of Controllers for Gaussian Process Forward Models.
[BibTeX]
[DOI]
Julia Vinogradska
,
Bastian Bischoff
,
Duy Nguyen-Tuong
,
Anne Romer
,
Henner Schmidt
,
Jan Peters
Proceedings of the 33nd International Conference on Machine Learning, 2016


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