Corpora and Processing Tools for Non-standard Contemporary and Diachronic Balkan Slavic. - Teodora Vukovic; Nora Muheim; Olivier Winistörfer; Ivan Simko; Anastasia Makarova; Sanja Bradjan (RANLP Student Research Workshop, 2019)

Hierarchical Image Classification using Entailment Cone Embeddings. - Ankit Dhall; Anastasia Makarova; Octavian Ganea; Dario Pavllo; Michael Greeff; Andreas Krause 001 (CVPR Workshops, 2020)

Mixed-Variable Bayesian Optimization. - Erik A. Daxberger; Anastasia Makarova; Matteo Turchetta; Andreas Krause 001 (IJCAI, 2020)

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 001; Konrad Schindler (ICCV, 2021)

Risk-averse Heteroscedastic Bayesian Optimization. - Anastasia Makarova; Ilnura Usmanova; Ilija Bogunovic; Andreas Krause 001 (NeurIPS, 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 001; Matthias W. Seeger; Cédric Archambeau (CoRR, 2021)

Automatic Termination for Hyperparameter Optimization. - Anastasia Makarova; Huibin Shen; Valerio Perrone; Aaron Klein; Jean Baptiste Faddoul; Andreas Krause 001; Matthias W. Seeger; Cédric Archambeau (AutoML, 2022)

Model-based Causal Bayesian Optimization. - Scott Sussex; Anastasia Makarova; Andreas Krause 001 (ICLR, 2023)

Safe Risk-Averse Bayesian Optimization for Controller Tuning. - Christopher König; Miks Ozols; Anastasia Makarova; Efe C. Balta; Andreas Krause 001; Alisa Rupenyan (IEEE Robotics Autom. Lett., 2023)

Adversarial Causal Bayesian Optimization. - Scott Sussex; Pier Giuseppe Sessa; Anastasia Makarova; Andreas Krause 001 (ICLR, 2024)

RRM: Robust Reward Model Training Mitigates Reward Hacking. - Tianqi Liu 002; Wei Xiong 015; Jie Ren 006; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin 001; Tianhe Yu; Daniel Sohn; Anastasia Makarova; et al. (ICLR, 2025)