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SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes


Jun 12, 2021
Sanyam Kapoor, Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson

* International Conference on Machine Learning (ICML), 2021 

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Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information


Apr 19, 2021
Willie Neiswanger, Ke Alexander Wang, Stefano Ermon


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Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints


Oct 26, 2020
Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson

* NeurIPS 2020. Code available at https://github.com/mfinzi/constrained-hamiltonian-neural-networks 

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$DC^2$: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering


Nov 16, 2019
Ke Alexander Wang, Xinran Bian, Pan Liu, Donghui Yan


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Exact Gaussian Processes on a Million Data Points


Mar 19, 2019
Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson


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