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Andrew Gordon Wilson

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Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors

May 20, 2022
Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew Gordon Wilson

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Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Apr 06, 2022
Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

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On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

Mar 30, 2022
Sanyam Kapoor, Wesley J. Maddox, Pavel Izmailov, Andrew Gordon Wilson

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Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders

Mar 23, 2022
Samuel Stanton, Wesley Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson

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Bayesian Model Selection, the Marginal Likelihood, and Generalization

Feb 23, 2022
Sanae Lotfi, Pavel Izmailov, Gregory Benton, Micah Goldblum, Andrew Gordon Wilson

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Deconstructing the Inductive Biases of Hamiltonian Neural Networks

Feb 12, 2022
Nate Gruver, Marc Finzi, Samuel Stanton, Andrew Gordon Wilson

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When are Iterative Gaussian Processes Reliably Accurate?

Dec 31, 2021
Wesley J. Maddox, Sanyam Kapoor, Andrew Gordon Wilson

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Residual Pathway Priors for Soft Equivariance Constraints

Dec 02, 2021
Marc Finzi, Gregory Benton, Andrew Gordon Wilson

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Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Oct 28, 2021
Wesley J. Maddox, Samuel Stanton, Andrew Gordon Wilson

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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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