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Christian Sohler

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 Chris Schwiegelshohn

> Home > Persons > Christian Sohler

Publications

2019
[c71]
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  dblp key:
  - conf/gi/MunteanuSSW19
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  persistent URL:
  - https://dblp.org/rec/conf/gi/MunteanuSSW19
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff:
On Coresets for Logistic Regression. GI-Jahrestagung 2019: 267-268
[c68]
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  dblp key:
  - conf/waoa/0001SS19
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  persistent URL:
  - https://dblp.org/rec/conf/waoa/0001SS19
Melanie Schmidt, Chris Schwiegelshohn, Christian Sohler:
Fair Coresets and Streaming Algorithms for Fair k-means. WAOA 2019: 232-251
2018
[c63]
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  dblp key:
  - conf/nips/MunteanuSSW18
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  - https://dblp.org/rec/conf/nips/MunteanuSSW18
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff:
On Coresets for Logistic Regression. NeurIPS 2018: 6562-6571
[i25]
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  dblp key:
  - journals/corr/abs-1805-08571
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  - https://dblp.org/rec/journals/corr/abs-1805-08571
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff:
On Coresets for Logistic Regression. CoRR abs/1805.08571 (2018)
[i21]
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  dblp key:
  - journals/corr/abs-1812-10854
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  - https://dblp.org/rec/journals/corr/abs-1812-10854
Melanie Schmidt, Chris Schwiegelshohn, Christian Sohler:
Fair Coresets and Streaming Algorithms for Fair k-Means Clustering. CoRR abs/1812.10854 (2018)
2016
[c57]
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  dblp key:
  - conf/icalp/Cohen-AddadSS16
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  - https://dblp.org/rec/conf/icalp/Cohen-AddadSS16
Vincent Cohen-Addad, Chris Schwiegelshohn, Christian Sohler:
Diameter and k-Center in Sliding Windows. ICALP 2016: 19:1-19:12
2013
[c49]
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  dblp key:
  - conf/esa/FichtenbergerGSSS13
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  - https://dblp.org/rec/conf/esa/FichtenbergerGSSS13
Hendrik Fichtenberger, Marc Gillé, Melanie Schmidt, Chris Schwiegelshohn, Christian Sohler:
BICO: BIRCH Meets Coresets for k-Means Clustering. ESA 2013: 481-492

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