Anastasia Makarova

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Image Classification

Efficient Optimization

Top Venues

IEEE Robotics Autom. Lett.

RANLP Student Research Workshop

Publications

Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause
Adversarial Causal Bayesian Optimization. ICLR (2024)
Christopher Koenig, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
Safe Risk-averse Bayesian Optimization for Controller Tuning. CoRR (2023)
Scott Sussex, Anastasia Makarova, Andreas Krause
Model-based Causal Bayesian Optimization. ICLR (2023)
Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
Safe Risk-Averse Bayesian Optimization for Controller Tuning. IEEE Robotics Autom. Lett. 8 (12) (2023)
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau
Automatic Termination for Hyperparameter Optimization. AutoML (2022)
Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
Risk-averse Heteroscedastic Bayesian Optimization. NeurIPS (2021)
Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim Rakhuba, Andreas Krause, Konrad Schindler
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. ICCV (2021)
Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim Rakhuba, Andreas Krause, Konrad Schindler
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. CoRR (2021)
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau
Overfitting in Bayesian Optimization: an empirical study and early-stopping solution. CoRR (2021)
Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
Risk-averse Heteroscedastic Bayesian Optimization. CoRR (2021)
Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
Mixed-Variable Bayesian Optimization. IJCAI (2020)
Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause
Hierarchical Image Classification using Entailment Cone Embeddings. CoRR (2020)
Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause
Hierarchical Image Classification using Entailment Cone Embeddings. CVPR Workshops (2020)
Teodora Vukovic, Nora Muheim, Olivier Winistörfer, Ivan Simko, Anastasia Makarova, Sanja Bradjan
Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic. RANLP Student Research Workshop (2019)
Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
Mixed-Variable Bayesian Optimization. CoRR (2019)