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Martin Wistuba

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 Josif Grabocka

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Publications

2023
[c43]
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  - conf/nips/KadraJWG23
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Arlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka:
Scaling Laws for Hyperparameter Optimization. NeurIPS 2023
[i27]
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  - journals/corr/abs-2302-00441
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Arlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka:
Deep Power Laws for Hyperparameter Optimization. CoRR abs/2302.00441 (2023)
2022
[c38]
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  - conf/nips/WistubaKG22
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Martin Wistuba, Arlind Kadra, Josif Grabocka:
Supervising the Multi-Fidelity Race of Hyperparameter Configurations. NeurIPS 2022
[i23]
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  - journals/corr/abs-2202-09774
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Martin Wistuba, Arlind Kadra, Josif Grabocka:
Dynamic and Efficient Gray-Box Hyperparameter Optimization for Deep Learning. CoRR abs/2202.09774 (2022)
2021
[c34]
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  - electronic edition @ openreview.net (open access)
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  - conf/iclr/WistubaG21
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Martin Wistuba, Josif Grabocka:
Few-Shot Bayesian Optimization with Deep Kernel Surrogates. ICLR 2021
[c32]
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  - conf/nips/Pineda-ArangoJW21
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Sebastian Pineda-Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka:
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML. NeurIPS Datasets and Benchmarks 2021
[i20]
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  - journals/corr/abs-2101-07667
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Martin Wistuba, Josif Grabocka:
Few-Shot Bayesian Optimization with Deep Kernel Surrogates. CoRR abs/2101.07667 (2021)
[i18]
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  - journals/corr/abs-2106-06257
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Sebastian Pineda-Arango, Hadi S. Jomaa, Martin Wistuba, Josif Grabocka:
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML. CoRR abs/2106.06257 (2021)
2017
[c23]
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  - conf/pakdd/NguyenWGDS17
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Hanh T. H. Nguyen, Martin Wistuba, Josif Grabocka, Lucas Rêgo Drumond, Lars Schmidt-Thieme:
Personalized Deep Learning for Tag Recommendation. PAKDD (1) 2017: 186-197
2016
[j2]
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  - journals/kais/GrabockaWS16
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Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme:
Fast classification of univariate and multivariate time series through shapelet discovery. Knowl. Inf. Syst. 49(2): 429-454 (2016)
[c18]
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  - conf/cods/ShahGSWS16
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Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme:
Learning DTW-Shapelets for Time-Series Classification. CODS 2016: 3:1-3:8
2015
[j1]
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  - journals/tkde/GrabockaWS15
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Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme:
Scalable Classification of Repetitive Time Series Through Frequencies of Local Polynomials. IEEE Trans. Knowl. Data Eng. 27(6): 1683-1695 (2015)
[i3]
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  - journals/corr/GrabockaWS15
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Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme:
Scalable Discovery of Time-Series Shapelets. CoRR abs/1503.03238 (2015)
[i2]
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  - journals/corr/WistubaGS15
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Martin Wistuba, Josif Grabocka, Lars Schmidt-Thieme:
Ultra-Fast Shapelets for Time Series Classification. CoRR abs/1503.05018 (2015)
2014
[c6]
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  - conf/kdd/GrabockaSWS14
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Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme:
Learning time-series shapelets. KDD 2014: 392-401
2013
[i1]
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  - journals/corr/GrabockaWS13
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Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme:
Time-Series Classification Through Histograms of Symbolic Polynomials. CoRR abs/1307.6365 (2013)

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