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Tag: processes

  • Gaussian Processes and Reproducing Kernels: Connections and Equivalences

    Gaussian Processes and Reproducing Kernels: Connections and Equivalences arXiv:2506.17366v1 Announce Type: new Abstract: This monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using reproducing kernel Hilbert spaces (RKHS). They are widely studied and used in machine learning, statistics, and numerical analysis. Connections and equivalences…

  • Deep spatio-temporal point processes: Advances and new directions

    Deep spatio-temporal point processes: Advances and new directions arXiv:2504.06364v1 Announce Type: new Abstract: Spatio-temporal point processes (STPPs) model discrete events distributed in time and space, with important applications in areas such as criminology, seismology, epidemiology, and social networks. Traditional models often rely on parametric kernels, limiting their ability to capture heterogeneous, nonstationary dynamics. Recent innovations…

  • Support Collapse of Deep Gaussian Processes with Polynomial Kernels for a Wide Regime of Hyperparameters

    Support Collapse of Deep Gaussian Processes with Polynomial Kernels for a Wide Regime of Hyperparameters arXiv:2503.12266v1 Announce Type: new Abstract: We analyze the prior that a Deep Gaussian Process with polynomial kernels induces. We observe that, even for relatively small depths, averaging effects occur within such a Deep Gaussian Process and that the prior can…

  • Deep Dive into Multithreading, Multiprocessing, and Asyncio

    Deep Dive into Multithreading, Multiprocessing, and Asyncio How to choose the right concurrency model Image by Paul Esch-Laurent from Unsplash Python provides three main approaches to handle multiple tasks simultaneously: multithreading, multiprocessing, and asyncio. Choosing the right model is crucial for maximising your program’s performance and efficiently using system resources. (P.S. It is also a common interview…