27 citations · 50 across the 7 of their papers we have counts for
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cs.LG2020
Density of States Graph Kernels
Leo Huang, Andrew Graven, David Bindel
A fundamental problem on graph-structured data is that of quantifying similarity between graphs. Graph kernels are an established technique for such tasks; in particular, those bas…
cs.CV2020
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
Kyle Wilson, David Bindel
Rotation Averaging is a non-convex optimization problem that determines orientations of a collection of cameras from their images of a 3D scene. The problem has been studied using…
cs.LG2020
Efficient Rollout Strategies for Bayesian Optimization
Eric Hans Lee, David Eriksson, Bolong Cheng +2
Bayesian optimization (BO) is a class of sample-efficient global optimization methods, where a probabilistic model conditioned on previous observations is used to determine future…