1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2023★ 1 cited
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu +1
Parameter-space regularization in neural network optimization is a fundamental tool for improving generalization. However, standard parameter-space regularization methods make it c…
cs.LG2021★ 1 cited
When are Iterative Gaussian Processes Reliably Accurate?
Wesley J. Maddox, Sanyam Kapoor, Andrew Gordon Wilson
While recent work on conjugate gradient methods and Lanczos decompositions have achieved scalable Gaussian process inference with highly accurate point predictions, in several impl…