Liudmila Ostroumova

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 Aleksei Ustimenko

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Publications

2023
[c40]
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Aleksei Ustimenko, Artem Beliakov, Liudmila Prokhorenkova:
Gradient Boosting Performs Gaussian Process Inference. ICLR 2023
[c39]
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  - conf/icml/LyzhinUGP23
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Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova:
Which Tricks are Important for Learning to Rank? ICML 2023: 23264-23278
2022
[i26]
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  - journals/corr/abs-2204-01500
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Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova:
Which Tricks are Important for Learning to Rank? CoRR abs/2204.01500 (2022)
[i25]
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  - journals/corr/abs-2206-05608
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Aleksei Ustimenko, Artem Beliakov, Liudmila Prokhorenkova:
Gradient Boosting Performs Low-Rank Gaussian Process Inference. CoRR abs/2206.05608 (2022)
2021
[c33]
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  - conf/iclr/MalininPU21
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Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko:
Uncertainty in Gradient Boosting via Ensembles. ICLR 2021
[c31]
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Aleksei Ustimenko, Liudmila Prokhorenkova:
SGLB: Stochastic Gradient Langevin Boosting. ICML 2021: 10487-10496
2020
[c25]
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  - conf/icml/UstimenkoP20
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Aleksei Ustimenko, Liudmila Prokhorenkova:
StochasticRank: Global Optimization of Scale-Free Discrete Functions. ICML 2020: 9669-9679
[i21]
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  - journals/corr/abs-2001-07248
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Aleksei Ustimenko, Liudmila Prokhorenkova:
SGLB: Stochastic Gradient Langevin Boosting. CoRR abs/2001.07248 (2020)
[i19]
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  - journals/corr/abs-2003-02122
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Aleksei Ustimenko, Liudmila Prokhorenkova:
StochasticRank: Global Optimization of Scale-Free Discrete Functions. CoRR abs/2003.02122 (2020)
[i18]
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  - journals/corr/abs-2006-10562
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Aleksei Ustimenko, Liudmila Prokhorenkova, Andrey Malinin:
Uncertainty in Gradient Boosting via Ensembles. CoRR abs/2006.10562 (2020)

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