11 citations · 13 across the 3 of their papers we have counts for
3 papers
GPatt: Fast Multidimensional Pattern Extrapolation with Gaussian Processes
Andrew Gordon Wilson, Elad Gilboa, Arye Nehorai +1
Gaussian processes are typically used for smoothing and interpolation on small datasets. We introduce a new Bayesian nonparametric framework -- GPatt -- enabling automatic pattern…
Distributed Optimization via Adaptive Regularization for Large Problems with Separable Constraints
Elad Gilboa, Phani Chavali, Peng Yang +1
Many practical applications require solving an optimization over large and high-dimensional data sets, which makes these problems hard to solve and prohibitively time consuming. In…
Scaling Multidimensional Inference for Structured Gaussian Processes
Elad Gilboa, Yunus Saatçi, John P. Cunningham
Exact Gaussian Process (GP) regression has O(N^3) runtime for data size N, making it intractable for large N. Many algorithms for improving GP scaling approximate the covariance wi…