Heinz Koeppl

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Dominik Linzner

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Publications

2021
[c60]
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Dominik Linzner, Heinz Koeppl:
Active Learning of Continuous-time Bayesian Networks through Interventions. ICML 2021: 6692-6701
[i37]
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  - journals/corr/abs-2105-14742
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Dominik Linzner, Heinz Koeppl:
Active Learning of Continuous-time Bayesian Networks through Interventions. CoRR abs/2105.14742 (2021)
2020
[c57]
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  - conf/aaai/LinznerK20
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Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes. AAAI 2020: 7203-7210
[c54]
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  - conf/icml/EngelmannLK20
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Nicolai Engelmann, Dominik Linzner, Heinz Koeppl:
Continuous Time Bayesian Networks with Clocks. ICML 2020: 2912-2921
[i29]
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  - journals/corr/abs-2007-00347
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Nicolai Engelmann, Dominik Linzner, Heinz Koeppl:
Continuous-Time Bayesian Networks with Clocks. CoRR abs/2007.00347 (2020)
2019
[c47]
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  - conf/nips/LinznerSK19
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Dominik Linzner, Michael Schmidt, Heinz Koeppl:
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS 2019: 3741-3751
[i21]
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  - journals/corr/abs-1909-04570
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Dominik Linzner, Michael Schmidt, Heinz Koeppl:
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR abs/1909.04570 (2019)
[i19]
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  - journals/corr/abs-1912-01849
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Dominik Linzner, Heinz Koeppl:
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes. CoRR abs/1912.01849 (2019)
2018
[c38]
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  - conf/nips/LinznerK18
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Dominik Linzner, Heinz Koeppl:
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. NeurIPS 2018: 7891-7901
[i14]
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  - journals/corr/abs-1809-04294
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Dominik Linzner, Heinz Koeppl:
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data. CoRR abs/1809.04294 (2018)

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