66 citations · 176 across the 46 of their papers we have counts for
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stat.CO2015★ 2 cited
A Geometric View of Posterior Approximation
Tian Chen, Jeffrey Streets, Babak Shahbaba
Although Bayesian methods are robust and principled, their application in practice could be limited since they typically rely on computationally intensive Markov Chain Monte Carlo…
stat.CO2013
Discussion of "Geodesic Monte Carlo on Embedded Manifolds"
Simon Byrne, Mark Girolami, Persi Diaconis +9
Contributed discussion and rejoinder to "Geodesic Monte Carlo on Embedded Manifolds" (arXiv:1301.6064)
stat.CO2013★ 2 cited
Wormhole Hamiltonian Monte Carlo
Shiwei Lan, Jeffrey Streets, Babak Shahbaba
In machine learning and statistics, probabilistic inference involving multimodal distributions is quite difficult. This is especially true in high dimensional problems, where most…