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Bayesian Optimization with High-Dimensional Outputs


Jun 24, 2021
Wesley J. Maddox, Maximilian Balandat, Andrew Gordon Wilson, Eytan Bakshy


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Kernel Interpolation for Scalable Online Gaussian Processes


Mar 02, 2021
Samuel Stanton, Wesley J. Maddox, Ian Delbridge, Andrew Gordon Wilson

* AISTATS 2021 

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Fast Adaptation with Linearized Neural Networks


Mar 02, 2021
Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas Damianou

* AISTATS 2021 

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Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling


Feb 25, 2021
Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson


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Similarity of Neural Networks with Gradients


Mar 25, 2020
Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas Damianou


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Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited


Mar 04, 2020
Wesley J. Maddox, Gregory Benton, Andrew Gordon Wilson


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Function-Space Distributions over Kernels


Oct 29, 2019
Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson

* Published at NeurIPS 2019 

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Subspace Inference for Bayesian Deep Learning


Jul 17, 2019
Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry Vetrov, Andrew Gordon Wilson

* Published at UAI 2019 

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