2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2021
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference
Michael E. Kepler, Alec Koppel, Amrit Singh Bedi +1
Gaussian processes (GPs) are a well-known nonparametric Bayesian inference technique, but they suffer from scalability problems for large sample sizes, and their performance can de…
eess.SY2021★ 2 cited
Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels
Jia Guo, Michael E. Kepler, Sai Tej Paruchuri +3
This paper describes an adaptive method in continuous time for the estimation of external fields by a team of agents. The agents each explore subdomains of a bounded…
math.DS2020
Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds
Sai Tej Paruchuri, Jia Guo, Michael Kepler +4
This paper derives rates of convergence of certain approximations of the Koopman operators that are associated with discrete, deterministic, continuous semiflows on a complete metr…