24 citations · 24 across the 8 of their papers we have counts for
3 papers · 1 filter
GLL: A Differentiable Graph Learning Layer for Neural Networks
Jason Brown, Bohan Chen, Harris Hardiman-Mostow +2
Standard deep learning architectures used for classification generate label predictions with a projection head and softmax activation function. Although successful, these methods f…
Numerical solution of a PDE arising from prediction with expert advice
Jeff Calder, Nadejda Drenska, Drisana Mosaphir
This work investigates the online machine learning problem of prediction with expert advice in an adversarial setting through numerical analysis of, and experiments with, a related…
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian
Jeff Calder, Nadejda Drenska
In this paper we give a broad overview of the intersection of partial differential equations (PDEs) and graph-based semi-supervised learning. The overview is focused on a large bod…