7 citations · 12 across the 3 of their papers we have counts for
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stat.ML2021
Manifold Density Estimation via Generalized Dequantization
James A. Brofos, Marcus A. Brubaker, Roy R. Lederman
Density estimation is an important technique for characterizing distributions given observations. Much existing research on density estimation has focused on cases wherein the data…
stat.ML2020
Magnetic Manifold Hamiltonian Monte Carlo
James A. Brofos, Roy R. Lederman
Markov chain Monte Carlo (MCMC) algorithms offer various strategies for sampling; the Hamiltonian Monte Carlo (HMC) family of samplers are MCMC algorithms which often exhibit impro…
stat.ML2020★ 7 cited
Non-Canonical Hamiltonian Monte Carlo
James A. Brofos, Roy R. Lederman
Hamiltonian Monte Carlo is typically based on the assumption of an underlying canonical symplectic structure. Numerical integrators designed for the canonical structure are incompa…