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1810.08083
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Good Initializations of Variational Bayes for Deep Models
18 October 2018
Simone Rossi
Pietro Michiardi
Maurizio Filippone
BDL
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Papers citing
"Good Initializations of Variational Bayes for Deep Models"
15 / 15 papers shown
Safety Monitoring of Machine Learning Perception Functions: a Survey
International Conference on Climate Informatics (ICCI), 2024
Raul Sena Ferreira
Joris Guérin
Kevin Delmas
Jérémie Guiochet
H. Waeselynck
330
4
0
09 Dec 2024
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
629
1
0
22 Jul 2024
Evaluating Bayesian deep learning for radio galaxy classification
Devina Mohan
Anna M. M. Scaife
UQCV
BDL
345
4
0
28 May 2024
On permutation symmetries in Bayesian neural network posteriors: a variational perspective
Neural Information Processing Systems (NeurIPS), 2023
Simone Rossi
Ankit Singh
T. Hannagan
231
3
0
16 Oct 2023
Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making
Maryam Kheirandish
Shengfan Zhang
D. Catanzaro
V. Crudu
UQCV
114
0
0
09 Oct 2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations
Probabilistic Engineering Mechanics (PEM), 2023
Wyatt Bridgman
Reese E. Jones
Mohammad Khalil
176
3
0
12 Jul 2023
Variational Latent Branching Model for Off-Policy Evaluation
International Conference on Learning Representations (ICLR), 2023
Qitong Gao
Ge Gao
Min Chi
Miroslav Pajic
OffRL
356
7
0
28 Jan 2023
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Software testing, verification & reliability (STVR), 2022
Michael Weiss
Paolo Tonella
BDL
UQCV
166
13
0
14 Dec 2022
Variational Inference for Additive Main and Multiplicative Interaction Effects Models
A. A. L. D. Santos
R. Moral
Danilo A. Sarti
Andrew C. Parnell
105
2
0
29 Jun 2022
DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models
Anubhab Ghosh
M. Abdalmoaty
Saikat Chatterjee
H. Hjalmarsson
BDL
133
4
0
04 May 2022
Decision Theoretic Bootstrapping
International Journal for Uncertainty Quantification (IJUQ), 2021
P. Tavallali
Hamed Hamze Bajgiran
Danial Esaid
H. Owhadi
188
0
0
18 Mar 2021
All You Need is a Good Functional Prior for Bayesian Deep Learning
Journal of machine learning research (JMLR), 2020
Ba-Hien Tran
Simone Rossi
Dimitrios Milios
Maurizio Filippone
OOD
BDL
292
75
0
25 Nov 2020
Efficient Approximate Inference with Walsh-Hadamard Variational Inference
Simone Rossi
Sébastien Marmin
Maurizio Filippone
BDL
158
1
0
29 Nov 2019
Walsh-Hadamard Variational Inference for Bayesian Deep Learning
Neural Information Processing Systems (NeurIPS), 2019
Simone Rossi
Sébastien Marmin
Maurizio Filippone
BDL
242
16
0
27 May 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors
Jeremias Knoblauch
Jack Jewson
Theodoros Damoulas
DRL
BDL
480
114
0
03 Apr 2019
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