A curated list of papers of interesting empirical study and insight on deep learning. Continually updating ...

Abstract: The successive convex approximation (SCA) methods stand out as the viable option for nonlinear optimization-based control, as it effectively addresses the challenges posed by nonlinear ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9 ...

However, both ADMM and symmetric ADMM have limited versatility across various fields due to the requirement that the gradients of differentiable functions exhibit global Lipschitz continuity, a ...

The current price of Convex Finance (CVX) is $2.07, as of Mar 31, 2025. Over the last 24 hours, the price has moved by 0.79%, with a change of 0.91% in the past hour. For longer-term performance, the ...

Their work extends Newton’s method to efficiently handle the broadest class of functions yet, pushing the centuries-old ...

This code provides a hyper-parameter optimization implementation for machine learning algorithms, as described in the paper: L. Yang and A. Shami, “On ...

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Its PC optimization toolkit really does make a difference; whenever we've tested System Mechanic we've found a significant speed improvement, especially at startup. The free edition is excellent ...