Publications

Adversarial Causal Bayesian Optimization
Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause
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Safe Risk-averse Bayesian Optimization for Controller Tuning
Christopher Konig, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
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Model-based Causal Bayesian Optimization
Scott Sussex, Anastasiia Makarova, Andreas Krause
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Automatic Termination for Hyperparameter Optimization
Anastasiia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias Seeger, Cedric Archambeau
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Risk-averse Heteroscedastic Bayesian Optimization
Anastasiia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
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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
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Mixed-Variable Bayesian Optimization
Erik Daxberger, Anastasiia Makarova, Matteo Turchetta, Andreas Krause
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Hierarchical Image Classification Using Entailment Cone Embeddings
Ankit Dhall, Anastasiia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause
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