Showing 1 - 16 results of 16 for search '("skde" OR "sde")', query time: 0.07s Refine Results
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    Multilevel path branching for digital options by Giles, MB, Haji-Ali, A-L

    Published 2024
    “…We propose a new Monte Carlo-based estimator for digital options with assets modelled by a stochastic differential equation (SDE). The new estimator is based on repeated path splitting and relies on the correlation of approximate paths of the underlying SDE that share parts of a Brownian path. …”
    Journal article
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    Analysis of online learning algorithms in machine learning by Wang, Z

    Published 2024
    “…Further, we develop a new continuous-time stochastic gradient descent method for optimizing over the stationary distribution of SDE models. The novel idea of our algorithm is that the gradient estimate is simultaneously updated using forward propagation of the SDE state derivatives, which asymptotically converges to the direction of steepest descent. …”
    Thesis
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    Asymptotic analysis of deep residual networks by Cont, R, Rossier, A, Xu, R

    Published 2022
    “…We study the convergence of the hidden state dynamics in these scaling regimes, showing that one may obtain an ODE, a stochastic differential equation (SDE) or neither of these. In particular, our findings point to the existence of a diffusive regime in which the deep network limit is described by a class of stochastic differential equations (SDEs). …”
    Internet publication
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    Geometric martingale Benamou–Brenier transport and geometric Bass martingales by Backhoff, J, Loeper, G, Obłój, J

    Published 2025
    “…We obtain an explicit representation for a geometric Bass martingale for given initial and terminal marginals, we characterise it as a solution to an SDE, and we show that geometric Brownian motion is the only process which is both an arithmetic and a geometric Bass martingale. …”
    Journal article
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    Tsewang Norbu NGB by Cantwell, C, Mayer, R

    Published 2025
    “…It also shares with the sDe dge xylograph the feature of a separate section at the end with additional rDzogs chen tantras. …”
    Dataset
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    Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics by Arbabi, Hassan, Sapsis, Themistoklis

    Published 2024
    “…These examples show that SDE models generated by this framework can reproduce the non-Gaussian statistics of systems with moderate dimensions (e.g. 10 and more), and predict super-Gaussian tails that are not readily available from little training data. …”
    Get full text
    Article
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