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#sparse — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #sparse, aggregated by home.social.

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  1. Pelajari cara menghemat ruang disk dan kuota internet menggunakan Git Sparse Checkout. Panduan lengkap mengelola repositori besar dengan mengabaikan folder berat.

    #fediverse #Teknik #Sparse #Checkout

    dalam.web.id/warta-tekno/tekni

  2. SpiNNcloud’s SpiNNaker2 Deployed at UT San Antonio for NSF-Funded THOR Project A brain-inspired supercomputing platform has been deployed at the University of Texas at San Antonio (UTSA), aimed a...

    #Features #National #Science #Foundation #neuromorphic #computing #sparse #models #SpiNNaker2 #SpiNNcloud #THOR

    Origin | Interest | Match
  3. 🎉 Oh, joy! 🙄 Signal's masterminds have blessed us with a "Sparse #Post #Quantum #Ratchet," because apparently, regular encryption just isn't fancy enough anymore. 🤓 Don't you feel safer already from those imaginary quantum computer threats that totally exist in 2025? 🚀🔒
    signal.org/blog/spqr/ #Signal #Sparse #QuantumEncryption #CyberSecurity #FutureTech #HackerNews #ngated

  4. 🎉 Oh, joy! 🙄 Signal's masterminds have blessed us with a "Sparse #Post #Quantum #Ratchet," because apparently, regular encryption just isn't fancy enough anymore. 🤓 Don't you feel safer already from those imaginary quantum computer threats that totally exist in 2025? 🚀🔒
    signal.org/blog/spqr/ #Signal #Sparse #QuantumEncryption #CyberSecurity #FutureTech #HackerNews #ngated

  5. 'Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights', by Insung Kong, Yongdai Kim.

    jmlr.org/papers/v26/24-0425.ht

    #priors #sparse #bnn

  6. 'Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights', by Insung Kong, Yongdai Kim.

    jmlr.org/papers/v26/24-0425.ht

    #priors #sparse #bnn

  7. 'High-Dimensional L2-Boosting: Rate of Convergence', by Ye Luo, Martin Spindler, Jannis Kueck.

    jmlr.org/papers/v26/21-0725.ht

    #boosting #lasso #sparse

  8. 'High-Dimensional L2-Boosting: Rate of Convergence', by Ye Luo, Martin Spindler, Jannis Kueck.

    jmlr.org/papers/v26/21-0725.ht

    #boosting #lasso #sparse

  9. 'The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning', by Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu.

    jmlr.org/papers/v26/23-1022.ht

    #sgd #autoencoder #sparse

  10. 'The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning', by Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu.

    jmlr.org/papers/v26/23-1022.ht

    #sgd #autoencoder #sparse

  11. 'Extremal graphical modeling with latent variables via convex optimization', by Sebastian Engelke, Armeen Taeb.

    jmlr.org/papers/v26/24-0472.ht

    #multivariate #graphical #sparse

  12. 'Extremal graphical modeling with latent variables via convex optimization', by Sebastian Engelke, Armeen Taeb.

    jmlr.org/papers/v26/24-0472.ht

    #multivariate #graphical #sparse

  13. 'Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions', by Dapeng Yao, Fangzheng Xie, Yanxun Xu.

    jmlr.org/papers/v26/23-0142.ht

    #sparse #clustering #clusters

  14. 'Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions', by Dapeng Yao, Fangzheng Xie, Yanxun Xu.

    jmlr.org/papers/v26/23-0142.ht

    #sparse #clustering #clusters

  15. 'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

    jmlr.org/papers/v26/23-1578.ht

    #sparse #nonparametric #smoothing

  16. 'From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective', by Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang.

    jmlr.org/papers/v26/23-1578.ht

    #sparse #nonparametric #smoothing

  17. 'Selective Inference with Distributed Data', by Sifan Liu, Snigdha Panigrahi.

    jmlr.org/papers/v26/23-0309.ht

    #lasso #glm #sparse

  18. 'Selective Inference with Distributed Data', by Sifan Liu, Snigdha Panigrahi.

    jmlr.org/papers/v26/23-0309.ht

    #lasso #glm #sparse

  19. 'A minimax optimal approach to high-dimensional double sparse linear regression', by Yanhang Zhang, Zhifan Li, Shixiang Liu, Jianxin Yin.

    jmlr.org/papers/v25/23-0653.ht

    #sparse #thresholding #sparsity

  20. 'A minimax optimal approach to high-dimensional double sparse linear regression', by Yanhang Zhang, Zhifan Li, Shixiang Liu, Jianxin Yin.

    jmlr.org/papers/v25/23-0653.ht

    #sparse #thresholding #sparsity

  21. 'Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components', by Naichen Shi, Salar Fattahi, Raed Al Kontar.

    jmlr.org/papers/v25/24-0400.ht

    #minimization #factorization #sparse

  22. 'Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components', by Naichen Shi, Salar Fattahi, Raed Al Kontar.

    jmlr.org/papers/v25/24-0400.ht

    #minimization #factorization #sparse

  23. 'Generalization on the Unseen, Logic Reasoning and Degree Curriculum', by Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk.

    jmlr.org/papers/v25/24-0220.ht

    #sparse #learns #generalization

  24. 'Generalization on the Unseen, Logic Reasoning and Degree Curriculum', by Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk.

    jmlr.org/papers/v25/24-0220.ht

    #sparse #learns #generalization

  25. 'Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK', by Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang.

    jmlr.org/papers/v25/23-0831.ht

    #sparse #gradient #generalization

  26. 'Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK', by Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang.

    jmlr.org/papers/v25/23-0831.ht

    #sparse #gradient #generalization

  27. 'Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach', by Weinan Wang, Bowen Gang, Wenguang Sun.

    jmlr.org/papers/v25/22-1310.ht

    #sparse #screening #thresholding