Abstract: This paper presents a neurodynamic optimization approach to bilevel quadratic programming (BQP). Based on the Karush-Kuhn-Tucker (KKT) theorem, the BQP problem is reduced to a one-level ...

Abstract: This paper studies the optimization problem for joint precoding design in a multi-antenna downlink channel using relaying. We formulate the joint source and relay precoding design by aiming ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

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The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization Mingyi Wang, Zhuoer Shen, Yuheng Bu, Shaofeng Zou Detect Before You Leap: Mirage Detection in Vision-Language Models Sayeed ...

Agentic AI workplace adoption has reached legal, finance, and recruiting teams, with new OpenAI research data showing ...