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Martin Takáč

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Federated Learning Can Find Friends That Are Beneficial

Feb 14, 2024
Nazarii Tupitsa, Samuel Horváth, Martin Takáč, Eduard Gorbunov

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AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size

Feb 07, 2024
Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander Gasnikov, Martin Takáč, Dmitry Kamzolov

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SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms

Dec 28, 2023
Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Robert Gower, Martin Takáč

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Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks

Dec 18, 2023
Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takáč, Maxim Panov

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Byzantine-Tolerant Methods for Distributed Variational Inequalities

Nov 08, 2023
Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takáč, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov

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Stochastic Gradient Descent with Preconditioned Polyak Step-size

Oct 03, 2023
Farshed Abdukhakimov, Chulu Xiang, Dmitry Kamzolov, Martin Takáč

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WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition

Apr 08, 2023
Dávid Šuba, Marek Šuppa, Jozef Kubík, Endre Hamerlik, Martin Takáč

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In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise

Jan 02, 2023
Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takáč

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Partial Disentanglement with Partially-Federated GANs (PaDPaF)

Dec 07, 2022
Abdulla Jasem Almansoori, Samuel Horváth, Martin Takáč

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