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Matthias W. Seeger

◀ ▶ joint publications with Andreas Krause 0001

> Home > Persons > Matthias W. Seeger

Publications

2022
[c41]
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  - conf/automl/MakarovaSPKF0SA22
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  - https://dblp.org/rec/conf/automl/MakarovaSPKF0SA22
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau:
Automatic Termination for Hyperparameter Optimization. AutoML 2022: 7/1-21
2021
[i15]
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  - journals/corr/abs-2104-08166
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  - https://dblp.org/rec/journals/corr/abs-2104-08166
Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau:
Overfitting in Bayesian Optimization: an empirical study and early-stopping solution. CoRR abs/2104.08166 (2021)
2012
[j10]
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  - journals/tit/SrinivasKKS12
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  - https://dblp.org/rec/journals/tit/SrinivasKKS12
Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seeger:
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting. IEEE Trans. Inf. Theory 58(5): 3250-3265 (2012)
2010
[c23]
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  - conf/icml/SrinivasKKS10
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Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seeger:
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design. ICML 2010: 1015-1022
2009
[i1]
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  dblp key:
  - journals/corr/abs-0912-3995
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Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seeger:
Gaussian Process Bandits without Regret: An Experimental Design Approach. CoRR abs/0912.3995 (2009)

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