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20132017
most citedParallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations

36 citations · 80 across the 4 of their papers we have counts for

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2 papers · 1 filter

stat.ML2017★ 2 cited

Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception

Ruofei Ouyang, Kian Hsiang Low

This paper presents novel Gaussian process decentralized data fusion algorithms exploiting the notion of agent-centric support sets for distributed cooperative perception of large-…

stat.ML2017★ 18 cited

Decentralized High-Dimensional Bayesian Optimization with Factor Graphs

Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang +1

This paper presents a novel decentralized high-dimensional Bayesian optimization (DEC-HBO) algorithm that, in contrast to existing HBO algorithms, can exploit the interdependent ef…