"Does generative AI infringe copyright?" is an urgent question. It is al...
In fair classification, it is common to train a model, and to compare an...
The tremendous excitement around the deployment of autonomous vehicles (...
Legal literature on machine learning (ML) tends to focus on harms, and a...
Fairness, Accountability, and Transparency (FAccT) for socio-technical
s...
In 1996, philosopher Helen Nissenbaum issued a clarion call concerning t...
Contemporary concerns over the governance of technological systems often...
We explore Boccaccio's Decameron to see how digital humanities tools can...
Algorithmic fairness has emphasized the role of biased data in automated...
Across machine learning (ML) sub-disciplines, researchers make explicit
...
Across machine learning (ML) sub-disciplines researchers make mathematic...
In this paper we discuss the trade-off between accuracy and efficiency i...
Metropolis-Hastings (MH) is a commonly-used MCMC algorithm, but it can b...
Stochastic gradient Hamiltonian Monte Carlo (SGHMC) is an efficient meth...