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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

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

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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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When are Iterative Gaussian Processes Reliably Accurate?


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

* ICML 2021 OPTML Workshop 

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A Simple and Fast Baseline for Tuning Large XGBoost Models


Nov 12, 2021
Sanyam Kapoor , Valerio Perrone

* Technical Report 

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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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Variational Auto-Regressive Gaussian Processes for Continual Learning


Jun 09, 2020
Sanyam Kapoor , Theofanis Karaletsos , Thang D. Bui

* Preprint. Under review 

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First-Order Preconditioning via Hypergradient Descent


Oct 18, 2019
Ted Moskovitz , Rui Wang , Janice Lan , Sanyam Kapoor , Thomas Miconi , Jason Yosinski , Aditya Rawal


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Backplay: "Man muss immer umkehren"


Sep 28, 2018
Cinjon Resnick , Roberta Raileanu , Sanyam Kapoor , Alexander Peysakhovich , Kyunghyun Cho , Joan Bruna


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Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches


Jul 25, 2018
Sanyam Kapoor

* 25 pages, 6 figures 

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