AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A finite-step approximation guarantee that approaches the classical $1-1/e$ factor as direction certification becomes exact and finite-step residual error vanishes is established.
Meta-LinEXP3 is proposed, an online-within-online algorithm that constructs a predictable task-level prior from completed tasks to guide the inner LinEXP3 learner and establishes a direct connection between prior accuracy and transfer regret, showing that increasingly accurate priors yield sublinear transfer-dependent...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.