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Large Scale Variational Inference and Experimental Design for Sparse
  Generalized Linear Models

Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models

6 October 2008
Matthias Seeger
H. Nickisch
ArXivPDFHTML

Papers citing "Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models"

2 / 2 papers shown
Title
Bayesian Algorithm Execution: Estimating Computable Properties of
  Black-box Functions Using Mutual Information
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
W. Neiswanger
Ke Alexander Wang
Stefano Ermon
MLAU
29
30
0
19 Apr 2021
Relative gradient optimization of the Jacobian term in unsupervised deep
  learning
Relative gradient optimization of the Jacobian term in unsupervised deep learning
Luigi Gresele
G. Fissore
Adrián Javaloy
Bernhard Schölkopf
Aapo Hyvarinen
DRL
19
22
0
26 Jun 2020
1