Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

6 June 2023

Alexander Immer

Tycho F. A. van der Ouderaa

Mark van der Wilk

Bernhard Schölkopf

Papers citing "Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels"

12 / 12 papers shown

Title
Gradients of Functions of Large Matrices Nicholas Krämer Pablo Moreno-Muñoz Hrittik Roy Søren Hauberg 27 0 0 27 May 2024
A Generative Model of Symmetry Transformations J. Allingham Bruno Mlodozeniec Shreyas Padhy Javier Antorán David Krueger Richard E. Turner Eric T. Nalisnick José Miguel Hernández-Lobato GAN 35 3 0 04 Mar 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood Rayen Dhahri Alexander Immer Bertrand Charpentier Stephan Günnemann Vincent Fortuin BDL UQCV 22 4 0 25 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 35 27 0 01 Feb 2024
Learning Layer-wise Equivariances Automatically using Gradients Tycho F. A. van der Ouderaa Alexander Immer Mark van der Wilk MLT 31 12 0 09 Oct 2023
Online Laplace Model Selection Revisited J. Lin Javier Antorán José Miguel Hernández-Lobato BDL 22 3 0 12 Jul 2023
Improving Neural Additive Models with Bayesian Principles Kouroche Bouchiat Alexander Immer Hugo Yèche Gunnar Rätsch Vincent Fortuin BDL MedIm 19 6 0 26 May 2023
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 27 6 0 28 Apr 2023
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization Agustinus Kristiadi Alexander Immer Runa Eschenhagen Vincent Fortuin BDL UQCV 13 8 0 17 Apr 2023
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Zhijie Deng Feng Zhou Jun Zhu BDL 42 19 0 23 Oct 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 25 73 0 28 Jan 2022
Probing as Quantifying Inductive Bias Alexander Immer Lucas Torroba Hennigen Vincent Fortuin Ryan Cotterell 32 14 0 15 Oct 2021