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2306.03968
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Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
6 June 2023
Alexander Immer
Tycho F. A. van der Ouderaa
Mark van der Wilk
Gunnar Rätsch
Bernhard Schölkopf
BDL
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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
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