Anastasia Makarova

According to our database, Anastasia Makarova authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversarial Causal Bayesian Optimization.

Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Safe Risk-Averse Bayesian Optimization for Controller Tuning.

Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan

IEEE Robotics Autom. Lett., December, 2023

Model-based Causal Bayesian Optimization.

Scott Sussex, Anastasia Makarova, Andreas Krause

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Automatic Termination for Hyperparameter Optimization.

Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Overfitting in Bayesian Optimization: an empirical study and early-stopping solution.

Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau

CoRR, 2021

Risk-averse Heteroscedastic Bayesian Optimization.

Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation.

Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Mixed-Variable Bayesian Optimization.

Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hierarchical Image Classification using Entailment Cone Embeddings.

Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic.

Teodora Vukovic, Nora Muheim, Olivier Winistörfer, Ivan Simko, Anastasia Makarova, Sanja Bradjan

Proceedings of the Student Research Workshop Associated with RANLP 2019, 2019