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Model-based Causal Bayesian Optimization


Nov 18, 2022
Scott Sussex, Anastasiia Makarova, Andreas Krause

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* 24 pages, 8 figures 

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PAC-Bayesian Meta-Learning: From Theory to Practice


Nov 14, 2022
Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, Andreas Krause

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* 50 pages 

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Instance-Dependent Generalization Bounds via Optimal Transport


Nov 07, 2022
Songyan Hou, Parnian Kassraie, Anastasis Kratsios, Jonas Rothfuss, Andreas Krause

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* 50 pages, 7 figures 

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Isotropic Gaussian Processes on Finite Spaces of Graphs


Nov 03, 2022
Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause

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Lifelong Bandit Optimization: No Prior and No Regret


Oct 27, 2022
Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause

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* 32 pages, 6 figures, preprint 

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Leveraging Demonstrations with Latent Space Priors


Oct 26, 2022
Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier

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A Dynamical System View of Langevin-Based Non-Convex Sampling


Oct 25, 2022
Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause

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MARS: Meta-Learning as Score Matching in the Function Space


Oct 24, 2022
Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause

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Movement Penalized Bayesian Optimization with Application to Wind Energy Systems


Oct 14, 2022
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic

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* Accepted to NeurIPS 2022 

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Near-Optimal Multi-Agent Learning for Safe Coverage Control


Oct 12, 2022
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause

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* Accepted at NeurIPS 2022 

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