In this article, we propose mSRGTR-BB, a minibatch proximal stochastic recursive gradient algorithm, which employs a trust-region-like scheme to select stepsizes that are automatically computed by the ...

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Neural Network written in pure C, leveraging Stochastic Gradient Descent (SGD) for optimization. Designed for performance and efficiency, it avoids external dependencies, making it a lightweight yet ...

Abstract: This paper presents a novel methodology to address multi-output regression problems through the incorporation of deep-neural networks and gradient boosting. The proposed approach involves ...

Python's scripting capabilities make it an ideal partner for OpenUSD, facilitating task automation and accelerating development processes. While OpenUSD is ... developers can install the necessary ...