Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which ...

In this talk, I will give a high-level tutorial on graphs of convex sets, with emphasis on their applications in robotics, control, and, more broadly, decision making. Mathematically, a Graph of ...

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Week 3 of the 2025 NFL season features a full slate of compelling matchups that could shape the early playoff picture. Sunday offers a packed schedule, including notable games like the Broncos ...

While exploring and using the framework, i noticed that the documentation under docs/api is currently incomplete. The lack of comprehensive API documentation makes it quite time-consuming to ...

As pressure to reduce costs increases, CFOs have an opportunity to deepen their cross-functional influence and fortify their advisory role to the CEO and other C-suite leaders. Capitalizing on this ...