Makarova, Anastasia

8 publications

ICLR 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking 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

ICLR 2024 Adversarial Causal Bayesian Optimization Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause

ICLR 2023 Model-Based Causal Bayesian Optimization Scott Sussex, Anastasia Makarova, Andreas Krause

AutoML 2022 Automatic Termination for Hyperparameter Optimization Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau

ICCV 2021 Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim Rakhuba, Andreas Krause, Konrad Schindler

NeurIPS 2021 Risk-Averse Heteroscedastic Bayesian Optimization Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause

CVPRW 2020 Hierarchical Image Classification Using Entailment Cone Embeddings Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause

IJCAI 2020 Mixed-Variable Bayesian Optimization Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause