Anastasia Makarova

16 papers A* 6Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	RRM: Robust Reward Model Training Mitigates Reward Hacking. ICLR Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
2024	A*	`conf`	Adversarial Causal Bayesian Optimization. ICLR Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause
2023	A*	`conf`	Model-based Causal Bayesian Optimization. ICLR Scott Sussex, Anastasia Makarova, Andreas Krause
2023	J	`jnl`	Safe Risk-Averse Bayesian Optimization for Controller Tuning. IEEE Robotics Autom. Lett. Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
2023	J	`jnl`	Safe Risk-averse Bayesian Optimization for Controller Tuning. CoRR Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
2022	—	`conf`	Automatic Termination for Hyperparameter Optimization. AutoML Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau
2021	A*	`conf`	Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. ICCV Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler
2021	J	`jnl`	Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. CoRR Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler
2021	J	`jnl`	Overfitting in Bayesian Optimization: an empirical study and early-stopping solution. CoRR Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau
2021	A*	`conf`	Risk-averse Heteroscedastic Bayesian Optimization. NeurIPS Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
2021	J	`jnl`	Risk-averse Heteroscedastic Bayesian Optimization. CoRR Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
2020	—	`conf`	Hierarchical Image Classification using Entailment Cone Embeddings. CVPR Workshops Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause
2020	J	`jnl`	Hierarchical Image Classification using Entailment Cone Embeddings. CoRR Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause
2020	A*	`conf`	Mixed-Variable Bayesian Optimization. IJCAI Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
2019	—	`conf`	Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic. RANLP Student Research Workshop Teodora Vukovic, Nora Muheim, Olivier Winistörfer, Ivan Simko, Anastasia Makarova, Sanja Bradjan
2019	J	`jnl`	Mixed-Variable Bayesian Optimization. CoRR Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause