29 citations · 225 across the 32 of their papers we have counts for
8 papers · 1 filter
The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics
Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver +7
The contact goniometer is a commonly used tool in lithic and zooarchaeological analysis, despite suffering from a number of shortcomings due to the physical interaction between the…
Asymptotically optimal strategies for online prediction with history-dependent experts
Jeff Calder, Nadejda Drenska
We establish sharp asymptotically optimal strategies for the problem of online prediction with history dependent experts. The prediction problem is played (in part) over a discrete…
Online Prediction With History-Dependent Experts: The General Case
Nadejda Drenska, Jeff Calder
We study the problem of prediction of binary sequences with expert advice in the online setting, which is a classic example of online machine learning. We interpret the binary sequ…
Lipschitz regularity of graph Laplacians on random data clouds
Jeff Calder, Nicolas Garcia Trillos, Marta Lewicka
In this paper we study Lipschitz regularity of elliptic PDEs on geometric graphs, constructed from random data points. The data points are sampled from a distribution supported on…
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates
Jeff Calder, Dejan Slepčev, Matthew Thorpe
We study graph-based Laplacian semi-supervised learning at low labeling rates. Laplacian learning uses harmonic extension on a graph to propagate labels. At very low label rates, L…
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
Jeff Calder, Brendan Cook, Matthew Thorpe +1
We propose a new framework, called Poisson learning, for graph based semi-supervised learning at very low label rates. Poisson learning is motivated by the need to address the dege…