Ngā hua rapu - Richtarik, Peter

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  1. 1
    Ata uhi

    Randomized Distributed Mean Estimation: Accuracy vs Communication mā Konečný, Jakub, Richtárik, Peter

    I whakaputaina 2016
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  2. 2
    Ata uhi

    Parallel Stochastic Newton Method mā Mutný, Mojmír, Richtárik, Peter

    I whakaputaina 2017
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  3. 3
    Ata uhi

    Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory mā Richtárik, Peter, Takáč, Martin

    I whakaputaina 2017
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  4. 4
    Ata uhi

    Linearly convergent stochastic heavy ball method for minimizing generalization error mā Loizou, Nicolas, Richtárik, Peter

    I whakaputaina 2017
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  5. 5
    Ata uhi

    Accelerated Gossip via Stochastic Heavy Ball Method mā Loizou, Nicolas, Richtárik, Peter

    I whakaputaina 2018
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  6. 6
    Ata uhi

    Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols mā Loizou, Nicolas, Richtárik, Peter

    I whakaputaina 2019
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  7. 7
    Ata uhi

    One Method to Rule Them All: Variance Reduction for Data, Parameters and Many New Methods mā Hanzely, Filip, Richtárik, Peter

    I whakaputaina 2019
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  8. 8
    Ata uhi

    Gradient Descent with Compressed Iterates mā Khaled, Ahmed, Richtárik, Peter

    I whakaputaina 2019
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  9. 9
    Ata uhi

    Better Theory for SGD in the Nonconvex World mā Khaled, Ahmed, Richtárik, Peter

    I whakaputaina 2020
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  10. 10
    Ata uhi

    Federated Learning of a Mixture of Global and Local Models mā Hanzely, Filip, Richtárik, Peter

    I whakaputaina 2020
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  11. 11
    Ata uhi

    A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization mā Li, Zhize, Richtárik, Peter

    I whakaputaina 2020
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  12. 12
    Ata uhi

    Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm mā Salim, Adil, Richtárik, Peter

    I whakaputaina 2020
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  13. 13
    Ata uhi

    A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning mā Horváth, Samuel, Richtárik, Peter

    I whakaputaina 2020
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  14. 14
    Ata uhi

    MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization mā Condat, Laurent, Richtárik, Peter

    I whakaputaina 2021
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  15. 15
    Ata uhi

    CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression mā Li, Zhize, Richtárik, Peter

    I whakaputaina 2021
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  16. 16
    Ata uhi

    DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization mā Tyurin, Alexander, Richtárik, Peter

    I whakaputaina 2022
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  17. 17
    Ata uhi

    Federated Random Reshuffling with Compression and Variance Reduction mā Malinovsky, Grigory, Richtárik, Peter

    I whakaputaina 2022
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  18. 18
    Ata uhi

    A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting mā Tyurin, Alexander, Richtárik, Peter

    I whakaputaina 2022
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  19. 19
    Ata uhi

    A Note on the Convergence of Mirrored Stein Variational Gradient Descent under $(L_0,L_1)-$Smoothness Condition mā Sun, Lukang, Richtárik, Peter

    I whakaputaina 2022
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  20. 20
    Ata uhi

    Shifted Compression Framework: Generalizations and Improvements mā Shulgin, Egor, Richtárik, Peter

    I whakaputaina 2022
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