Author

Antonio Orvieto

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.

Review Oct 2026

A note on data-efficient finetuning of vision foundation models

Adapting foundation models to a new task within or beyond the training domain is the de facto standard for building specialized machine learning models. Recently, Visual Prompting (VP) has emerged as a promising technique for efficient knowledge transfer. As new foundation model families~(like Mamba) get introduced and...

Niclas Hergenröther, Antonio Orvieto · 0 citations

#machine learning Jun 2024

Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

Although local convergence is guaranteed for all step sizes less than the critical step size, global convergence is not, and gradient descent may instead converge to a cycle depending on the initialization, and GD may instead converge to a cycle depending on the initialization.

S. Meng, Antonio Orvieto, Dan Cao et al. · arXiv.org · 13 citations