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2020 – today
- 2024
[c7]Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür:
Federated Experiment Design under Distributed Differential Privacy. AISTATS 2024: 2458-2466- 2023
- [i1]Wei-Ning Chen, Graham Cormode
, Akash Bharadwaj, Peter Romov, Ayfer Özgür:
Federated Experiment Design under Distributed Differential Privacy. CoRR abs/2311.04375 (2023) - 2020
- [c6]Tatiana Shavrina, Anton A. Emelyanov, Alena Fenogenova, Vadim Fomin, Vladislav Mikhailov, Andrey Evlampiev, Valentin Malykh, Vladimir Larin, Alex Natekin, Aleksandr Vatulin, Peter Romov, Daniil Anastasiev, Nikolai Zinov, Andrey Chertok:
Humans Keep It One Hundred: an Overview of AI Journey. LREC 2020: 2276-2284
2010 – 2019
- 2016
- [c5]Aleksandr M. Semenov, Peter Romov, Sergey Korolev, Daniil Yashkov, Kirill Neklyudov:
Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2. AIST 2016: 26-37 - [c4]Aleksandr M. Semenov, Peter Romov, Kirill Neklyudov, Daniil Yashkov, Daniil Kireev:
Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing. MLSA@PKDD/ECML 2016 - 2015
- [c3]Konstantin V. Vorontsov, Oleksandr Frei, Murat Apishev, Peter Romov, Marina Dudarenko:
BigARTM: Open Source Library for Regularized Multimodal Topic Modeling of Large Collections. AIST 2015: 370-381 - [c2]Konstantin V. Vorontsov, Oleksandr Frei, Murat Apishev, Peter Romov, Marina Suvorova, Anastasia Yanina:
Non-Bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections. TM@CIKM 2015: 29-37 - [c1]Peter Romov, Evgeny Sokolov:
RecSys Challenge 2015: ensemble learning with categorical features. RecSys Challenge 2015: 1:1-1:4
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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