no code implementations • 24 May 2024 • Daniele Bracale, Subha Maity, Moulinath Banerjee, Yuekai Sun
In numerous predictive scenarios, the predictive model affects the sampling distribution; for example, job applicants often meticulously craft their resumes to navigate through a screening systems.
no code implementations • ICLR 2021 • Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
In this paper, we consider fully connected feed-forward deep neural networks where weights and biases are independent and identically distributed according to Gaussian distributions.
no code implementations • 7 Feb 2021 • Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
The interplay between infinite-width neural networks (NNs) and classes of Gaussian processes (GPs) is well known since the seminal work of Neal (1996).