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Anastasiia Makarova
Anastasiia Makarova
Google, PhD at ETH Zurich
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Hierarchical image classification using entailment cone embeddings
A Dhall, A Makarova, O Ganea, D Pavllo, M Greeff, A Krause
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
522020
Mixed-variable Bayesian optimization
E Daxberger, A Makarova, M Turchetta, A Krause
International Joint Conference on Artificial Intelligence (IJCAI), 2019
492019
Risk-averse Heteroscedastic Bayesian Optimization
A Makarova, I Usmanova, I Bogunovic, A Krause
Neural Information Processing Systems (NeurIPS) 35, 2021
392021
Automatic Termination for Hyperparameter Optimization
A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ...
International Conference on Automated Machine Learning (AutoML-Conf), 2021
262021
Model-based Causal Bayesian Optimization
S Sussex, A Makarova, A Krause
International Conference on Learning Representations (ICLR) 2023, 2022
202022
Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ...
Proceedings of International Conference on Learning Representations Workshops, 2021
142021
Cherry-Picking gradients: learning low-rank embeddings of visual data via differentiable cross-approximation
M Usvyatsov, A Makarova, R Ballester-Ripoll, M Rakhuba, A Krause, ...
International Conference on Computer Vision (ICCV), 2021
62021
Safe Risk-averse Bayesian Optimization for Controller Tuning
C Koenig, M Ozols, A Makarova, EC Balta, A Krause, A Rupenyan
International Conference on Robotics and Automation (ICRA) 2024, 2023
42023
Calibration of agent based transport simulations with multi-fidelity Bayesian optimization
M Turchetta, A Makarova, S Beyeler, A Krause
18th Swiss Transport Research Conference (STRC 2018), 2018
32018
Adversarial Causal Bayesian Optimization
S Sussex, PG Sessa, A Makarova, A Krause
International Conference on Learning Representations (ICLR) 2024, 2023
12023
Bayesian Optimization in the wild: Risk-averse and Computationally-effective Decision-making
A Makarova
ETH Zurich, 2023
2023
Shifted Convolutions for Speeding up of Convolutional networks
A Makarova, V Lebedev, V Lempitsky
11th Russian Summer School in Information Retrieval, 2017
2017
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Articles 1–12