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Transfer Learning with Deep Tabular Models



Roman Levin , Valeriia Cherepanova , Avi Schwarzschild , Arpit Bansal , C. Bayan Bruss , Tom Goldstein , Andrew Gordon Wilson , Micah Goldblum


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Low-Precision Stochastic Gradient Langevin Dynamics



Ruqi Zhang , Andrew Gordon Wilson , Christopher De Sa

* Published at ICML 2022 

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



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

* Code available at https://github.com/hsouri/BayesianTransferLearning 

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



Polina Kirichenko , Pavel Izmailov , Andrew Gordon Wilson

* Code is available at https://github.com/PolinaKirichenko/deep_feature_reweighting 

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On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification



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


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Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders



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



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


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Deconstructing the Inductive Biases of Hamiltonian Neural Networks



Nate Gruver , Marc Finzi , Samuel Stanton , Andrew Gordon Wilson

* ICLR 2022. Code available at https://github.com/ngruver/decon-hnn 

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When are Iterative Gaussian Processes Reliably Accurate?



Wesley J. Maddox , Sanyam Kapoor , Andrew Gordon Wilson

* ICML 2021 OPTML Workshop 

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Residual Pathway Priors for Soft Equivariance Constraints



Marc Finzi , Gregory Benton , Andrew Gordon Wilson

* NeurIPS 2021. Code available at https://github.com/mfinzi/residual-pathway-priors 

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