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PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison


Nov 29, 2022
Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters

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* 30 pages, 8 figures 

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Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs


May 24, 2022
Çağatay Yıldız, Melih Kandemir, Barbara Rakitsch

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PAC-Bayesian Lifelong Learning For Multi-Armed Bandits


Mar 07, 2022
Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters

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* Data Mining and Knowledge Discovery, 2022, Special Issue of the Journal Track ECML PKDD 2022 
* 29 pages, 5 figures 

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Continual Learning of Multi-modal Dynamics with External Memory


Mar 02, 2022
Abdullah Akgül, Gozde Unal, Melih Kandemir

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Traversing Time with Multi-Resolution Gaussian Process State-Space Models


Dec 06, 2021
Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch

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Inferring the Structure of Ordinary Differential Equations


Jul 05, 2021
Juliane Weilbach, Sebastian Gerwinn, Christian Weilbach, Melih Kandemir

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Evidential Turing Processes


Jun 02, 2021
Melih Kandemir, Abdullah Akgül, Manuel Haussmann, Gozde Unal

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Differentiable Implicit Layers


Oct 14, 2020
Andreas Look, Simona Doneva, Melih Kandemir, Rainer Gemulla, Jan Peters

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Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes


Jun 17, 2020
Manuel Haussmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir

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Deterministic Inference of Neural Stochastic Differential Equations


Jun 16, 2020
Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir

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