Julia Vinogradska

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Venues

CoRR

AISTATS

IEEE Robotics Autom. Lett.

J. Mach. Learn. Res.

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Information-Theoretic Safe Bayesian Optimization. CoRR (2024)
Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
Scalable Meta-Learning with Gaussian Processes. AISTATS (2024)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. CoRR (2023)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Model-Based Uncertainty in Value Functions. CoRR (2023)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Value-Distributional Model-Based Reinforcement Learning. CoRR (2023)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Model-Based Uncertainty in Value Functions. AISTATS (2023)
Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
Scalable Meta-Learning with Gaussian Processes. CoRR (2023)
Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
Transfer Learning with Gaussian Processes for Bayesian Optimization. AISTATS (2022)
Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Information-Theoretic Safe Exploration with Gaussian Processes. CoRR (2022)
Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Information-Theoretic Safe Exploration with Gaussian Processes. NeurIPS (2022)
Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
Transfer Learning with Gaussian Processes for Bayesian Optimization. CoRR (2021)
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. CoRR (2020)
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. AISTATS (2020)
Julia Vinogradska, Bastian Bischoff, Jan Achterhold, Torsten Koller, Jan Peters
Numerical Quadrature for Probabilistic Policy Search. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Julia Vinogradska, Bastian Bischoff, Jan Peters
Approximate Value Iteration Based on Numerical Quadrature. IEEE Robotics Autom. Lett. 3 (2) (2018)
Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Jan Peters
Stability of Controllers for Gaussian Process Dynamics. J. Mach. Learn. Res. 18 (2017)
Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters
Stability of Controllers for Gaussian Process Forward Models. ICML (2016)

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Publication Activity (10 Years)

Top Topics

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Julia Vinogradska