A. Krause

Most-cited papers

Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalán Borsos, Mojm'ir Mutn'y, A. Krause
2020Neural Information Processing Systems322 citations
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Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
O. Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian +3 more
2021International Conference on Learning Representations181 citations
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DiBS: Differentiable Bayesian Structure Learning
Lars Lorch, Jonas Rothfuss, B. Schölkopf, A. Krause
2021Neural Information Processing Systems145 citations
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PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, A. Krause
2020International Conference on Machine Learning140 citations
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Amortized Inference for Causal Structure Learning
Lars Lorch, Scott Sussex, Jonas Rothfuss, A. Krause +1 more
2022Neural Information Processing Systems123 citations Open access
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Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
Sebastian Curi, Felix Berkenkamp, A. Krause
2020Neural Information Processing Systems121 citations
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Safe Reinforcement Learning via Curriculum Induction
M. Turchetta, A. Kolobov, S. Shah, A. Krause +1 more
2020Neural Information Processing Systems109 citations
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Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus, Da-Mi Choi, Daniel Tarlow, A. Krause +1 more
2020Neural Information Processing Systems105 citations
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Distributionally Robust Bayesian Optimization
Johannes Kirschner, Ilija Bogunovic, S. Jegelka, A. Krause
2020International Conference on Artificial Intelligence and Statistics102 citations
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Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning
Max B. Paulus, Giulia Zarpellon, A. Krause, Laurent Charlin +1 more
2022International Conference on Machine Learning101 citations Open access
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Supervised Training of Conditional Monge Maps
Charlotte Bunne, A. Krause, Marco Cuturi
2022Neural Information Processing Systems98 citations Open access
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Stochastic Linear Bandits Robust to Adversarial Attacks
Ilija Bogunovic, Arpan Losalka, A. Krause, J. Scarlett
2020International Conference on Artificial Intelligence and Statistics92 citations
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Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí, Sebastian Curi, A. Krause
2021International Conference on Learning Representations89 citations
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Hierarchical Image Classification using Entailment Cone Embeddings
Ankit Dhall, Anastasia Makarova, O. Ganea, Dario Pavllo +2 more
20202020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)83 citations Open access
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Constrained Policy Optimization via Bayesian World Models
Yarden As, Ilnura Usmanova, Sebastian Curi, A. Krause
2022International Conference on Learning Representations81 citations
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Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic, A. Krause
2021Neural Information Processing Systems72 citations
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Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi, K. Levy, S. Jegelka, A. Krause
2019Neural Information Processing Systems67 citations
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Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic, A. Krause, J. Scarlett
2020International Conference on Artificial Intelligence and Statistics60 citations
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Information Directed Sampling for Linear Partial Monitoring
Johannes Kirschner, Tor Lattimore, A. Krause
2020Annual Conference Computational Learning Theory56 citations
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Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B. Paulus, Chris J. Maddison, A. Krause
2020International Conference on Learning Representations56 citations
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Invariant Causal Mechanisms through Distribution Matching
Mathieu Chevalley, Charlotte Bunne, A. Krause, Stefan Bauer
2022arXiv.org55 citations Open access
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Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
M. Turchetta, A. Krause, Sebastian Trimpe
2019IEEE International Conference on Robotics and Automation54 citations Open access
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Active Bayesian Causal Inference
C. Toth, Lars Lorch, Christian Knoll, A. Krause +3 more
2022Neural Information Processing Systems53 citations Open access
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Neural Contextual Bandits without Regret
Parnian Kassraie, A. Krause
2021International Conference on Artificial Intelligence and Statistics51 citations
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Risk-averse Heteroscedastic Bayesian Optimization
Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, A. Krause
2021Neural Information Processing Systems47 citations
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Logistic $Q$-Learning
Joan Bas-Serrano, Sebastian Curi, A. Krause, Gergely Neu
2020International Conference on Artificial Intelligence and Statistics47 citations
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Learning Graph Models for Template-Free Retrosynthesis
Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, A. Krause +1 more
2020arXiv.org45 citations
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Optimistic Active Exploration of Dynamical Systems
Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes +2 more
2023Neural Information Processing Systems44 citations Open access
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Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback
Marc Jourdan, Mojm'ir Mutn'y, Johannes Kirschner, A. Krause
2021International Conference on Algorithmic Learning Theory39 citations
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Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
Christopher König, M. Turchetta, J. Lygeros, Alisa Rupenyan +1 more
2021IEEE International Conference on Robotics and Automation39 citations Open access
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Active Exploration for Inverse Reinforcement Learning
David Lindner, A. Krause, G. Ramponi
2022Neural Information Processing Systems36 citations Open access
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Meta-Learning Priors for Safe Bayesian Optimization
Jonas Rothfuss, Christopher König, Alisa Rupenyan, A. Krause
2022Conference on Robot Learning36 citations Open access
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BaCaDI: Bayesian Causal Discovery with Unknown Interventions
Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath +2 more
2022International Conference on Artificial Intelligence and Statistics35 citations Open access
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Learning to Play Sequential Games versus Unknown Opponents
Pier Giuseppe Sessa, Ilija Bogunovic, M. Kamgarpour, A. Krause
2020Neural Information Processing Systems35 citations
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Automatic Termination for Hyperparameter Optimization
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein +4 more
2021AutoML34 citations
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Model-based Causal Bayesian Optimization
Scott Sussex, Pier Giuseppe Sessa, A. Makarova, A. Krause
2022International Conference on Learning Representations33 citations Open access
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Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss, Dominique Heyn, Jinfan Chen, A. Krause
2021Neural Information Processing Systems32 citations
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Submodular Reinforcement Learning
Manish Prajapat, Mojm'ir Mutn'y, M. Zeilinger, A. Krause
2023International Conference on Learning Representations31 citations Open access
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Learning Safety Constraints from Demonstrations with Unknown Rewards
David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann +1 more
2023International Conference on Artificial Intelligence and Statistics30 citations Open access
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Online Active Model Selection for Pre-trained Classifiers
Mohammad Reza Karimi, Nezihe Merve Gurel, Bojan Karlas, Johannes Rausch +2 more
2020International Conference on Artificial Intelligence and Statistics30 citations
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Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Andreas Schlaginhaufen, Philippe Wenk, A. Krause, F. Dörfler
2021Neural Information Processing Systems29 citations
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GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems
Bhavya Sukhija, M. Turchetta, David Lindner, A. Krause +2 more
2022Artificial Intelligence28 citations Open access
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Information Directed Reward Learning for Reinforcement Learning
David Lindner, M. Turchetta, Sebastian Tschiatschek, K. Ciosek +1 more
2021Neural Information Processing Systems28 citations
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Active Exploration via Experiment Design in Markov Chains
Mojm'ir Mutn'y, Tadeusz Janik, A. Krause
2022International Conference on Artificial Intelligence and Statistics27 citations Open access
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Replicable Bandits
Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, A. Krause +2 more
2022International Conference on Learning Representations27 citations
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Overfitting in Bayesian Optimization: an empirical study and early-stopping solution
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein +4 more
2021arXiv.org26 citations
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Contextual Games: Multi-Agent Learning with Side Information
Pier Giuseppe Sessa, Ilija Bogunovic, A. Krause, M. Kamgarpour
2021Neural Information Processing Systems26 citations
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Continuous Submodular Function Maximization
Yatao Bian, J. Buhmann, A. Krause
2020arXiv.org26 citations
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Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Scott Sussex, A. Krause, Caroline Uhler
2021Neural Information Processing Systems25 citations
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Semi-Supervised Batch Active Learning Via Bilevel Optimization
Zalán Borsos, M. Tagliasacchi, A. Krause
2020IEEE International Conference on Acoustics, Speech, and Signal Processing24 citations Open access
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