commit ddd91b02d9d252ecf06a91dc5d44b3ae2f35b568
parent 8853e7f71e4244ae5b25f8c7f3c413440226792e
Author: Silas Brack <s174433@student.dtu.dk>
Date: Thu, 26 Jan 2023 15:33:18 +0100
Added more bib entries.
Diffstat:
| M | main.bib | | | 35 | ++++++++++++++++++++++++++++++++--- |
1 file changed, 32 insertions(+), 3 deletions(-)
diff --git a/main.bib b/main.bib
@@ -20,7 +20,7 @@
}
@inproceedings{daxberger2021laplace,
- title = {Laplace Redux-Effortless Bayesian Deep Learning},
+ title = {Laplace Redux-Effortless {B}ayesian Deep Learning},
author = {Daxberger, Erik and Kristiadi, Agustinus and Immer, Alexander and Eschenhagen, Runa and Bauer, Matthias and Hennig, Philipp},
booktitle = nips,
year = {2021}
@@ -104,6 +104,24 @@
publisher = {MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}
+@inproceedings{immer2021scalable,
+ title = {Scalable marginal likelihood estimation for model selection in deep learning},
+ author = {Immer, Alexander and Bauer, Matthias and Fortuin, Vincent and R{\"a}tsch, Gunnar and Emtiyaz, Khan Mohammad},
+ booktitle = icml,
+ year = {2021}
+}
+
+@article{izzatullah2022laplace,
+ title = {Laplace {H}ypo{PINN}: physics-informed neural network for hypocenter localization and its predictive uncertainty},
+ author = {Izzatullah, Muhammad and Yildirim, Isa Eren and Waheed, Umair Bin and Alkhalifah, Tariq},
+ journal = {Machine Learning: Science and Technology},
+ volume = {3},
+ number = {4},
+ pages = {045001},
+ year = {2022},
+ publisher = {IOP Publishing}
+}
+
@software{jax2018github,
author = {James Bradbury and Roy Frostig and Peter Hawkins and Matthew James Johnson and Chris Leary and Dougal Maclaurin and George Necula and Adam Paszke and Jake Vander{P}las and Skye Wanderman-{M}ilne and Qiao Zhang},
title = {{JAX}: composable transformations of {P}ython+{N}um{P}y programs},
@@ -228,7 +246,7 @@
}
@article{ritter2018online,
- title = {Online structured laplace approximations for overcoming catastrophic forgetting},
+ title = {Online structured {L}aplace approximations for overcoming catastrophic forgetting},
author = {Ritter, Hippolyt and Botev, Aleksandar and Barber, David},
journal = nips,
volume = {31},
@@ -236,7 +254,7 @@
}
@inproceedings{ritter2018scalable,
- title = {A scalable laplace approximation for neural networks},
+ title = {A scalable {L}aplace approximation for neural networks},
author = {Ritter, Hippolyt and Botev, Aleksandar and Barber, David},
booktitle = iclr,
volume = {6},
@@ -256,6 +274,17 @@
year = {2013}
}
+@article{vono2022high,
+ title = {High-dimensional {G}aussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm},
+ author = {Vono, Maxime and Dobigeon, Nicolas and Chainais, Pierre},
+ journal = {SIAM Review},
+ volume = {64},
+ number = {1},
+ pages = {3--56},
+ year = {2022},
+ publisher = {SIAM}
+}
+
@book{woodbury1950inverting,
title = {Inverting modified matrices},
author = {Woodbury, Max},
