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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
a year ago by @becker
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bayesian
linear
regression
background
knowledge
integration
bayes
bayesianlinearregressionbackgroundknowledgeintegrationbayes
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1GitHub - huawei-noah/HEBO: Bayesian optimisation library developped by Huawei Noah's Ark Library
https://github.com/huawei-noah/HEBO
2 years ago by @becker
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bayes
bayesian
optimization
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hebo
bayesbayesianoptimizationhuaweihebo
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1Bayesian_Workflow.pdf
https://dpsimpson.github.io/pages/talks/Bayesian_Workflow.pdf
4 years ago by @becker
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gelman
workflow
bayes
bayesian
gelmanworkflowbayesbayesian
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1Laplace's Demon: A Seminar Series about Bayesian Machine Learning at Scale - Criteo AI Lab
https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/
4 years ago by @becker
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demon
webinar
bayes
bayesian
laplacedemonwebinarbayesbayesian
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1(7) David Robinson auf Twitter: "Let's do this ONE LIKE = ONE INSULT OF A DISTRIBUTION" / Twitter
https://twitter.com/drob/status/1286042301727416320
4 years ago by @becker
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distribution
twitter
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insults
bayes
bayesian
humor
fun
distributiontwitterinsultinsultsbayesbayesianhumorfun
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1Bayesian regression predictions - Tutorials - Pyro Discussion Forum
https://forum.pyro.ai/t/bayesian-regression-predictions/1115/8
4 years ago by @becker
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bayes
pyro
bayesian
regression
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prediction
bayespyrobayesianregressionsampleprediction
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1Remove dependency on TracePosterior and deprecate utilities in AbstractInfer · Issue #1930 · pyro-ppl/pyro
https://github.com/pyro-ppl/pyro/issues/1930
4 years ago by @becker
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1Financial forecasting with probabilistic programming and Pyro
https://medium.com/@alexrachnog/financial-forecasting-with-probabilistic-programming-and-pyro-db68ab1a1dba
4 years ago by @becker
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1What is amortized variational inference? - Quora
https://www.quora.com/What-is-amortized-variational-inference#:~:text=Amortizing%20Posterior%20Inference,of%20the%20approximate%20posterior%20distribution.
4 years ago by @becker
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elbo
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1https://scholar.googleusercontent.com/scholar.bib?q=info:vegxY8zEn-EJ:scholar.google.com/&output=citation&scisdr=CgUqPzX2ELPhtbXua4o:AAGBfm0AAAAAXlbrc4r8g9aX1vJ_7ANfvGsZjz2luRyR&scisig=AAGBfm0AAAAAXlbrc2pK3JcRojAQtKHudSF69nVueJ6A&scisf=4&ct=citation&cd=0&hl=en
https://scholar.googleusercontent.com/scholar.bib?q=info:vegxY8zEn-EJ:scholar.google.com/&output=citation&scisdr=CgUqPzX2ELPhtbXua4o:AAGBfm0AAAAAXlbrc4r8g9aX1vJ_7ANfvGsZjz2luRyR&scisig=AAGBfm0AAAAAXlbrc2pK3JcRojAQtKHudSF69nVueJ6A&scisf=4&ct=citation&cd=0&hl=en
4 years ago by @becker
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vae
aligned
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auto
encoder
autoencoder
neural
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bayes
bayesian
vaealigneddeeplearningautoencoderautoencoderneuralnetworkbayesbayesian
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1Hyperspherical VAE | Nicola De Cao
https://nicola-decao.github.io/s-vae.html
5 years ago by @becker
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vae
variational
autoencoder
auto
encoder
generative
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afcs
bayes
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vaevariationalautoencoderautoencodergenerativemodelafcsbayesbayesian
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1Bayesian Neural Network Series Post 2: Background Knowledge
https://medium.com/neuralspace/bayesian-neural-network-series-post-2-background-knowledge-fdec6ac62d43
5 years ago by @becker
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bayes
bayesian
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cnn
blog
nn
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bayesbayesianneuralnetworkcnnblognnconvolutionalprobabilityprobabilistic
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1IraKorshunova/bruno: a deep recurrent model for exchangeable data
https://github.com/IraKorshunova/bruno
5 years ago by @becker
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bruno
deep
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gan
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1[1802.07535] BRUNO: A Deep Recurrent Model for Exchangeable Data
https://arxiv.org/abs/1802.07535
5 years ago by @becker
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bruno
gan
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1statistics - Bayesian Interpretation for Ridge Regression and the Lasso - Mathematics Stack Exchange
https://math.stackexchange.com/questions/2984440/bayesian-interpretation-for-ridge-regression-and-the-lasso
5 years ago by @becker
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lasso
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1Li-wei H. Lehman - Google Scholar Citations
https://scholar.google.ch/citations?hl=en&user=cIjXidQAAAAJ&view_op=list_works&sortby=pubdate
6 years ago by @becker
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time
series
timeseries
bayes
nonparametric
non
parametric
medical
medicin
mit
timeseriestimeseriesbayesnonparametricnonparametricmedicalmedicinmit
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2Generalized log likelihood ratio test for non-nested models - Cross Validated
https://stats.stackexchange.com/questions/110038/generalized-log-likelihood-ratio-test-for-non-nested-models
6 years ago by @becker
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non
nested
likelihood
frequentist
bayesian
bayes
model
comparison
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diss
nonnestedlikelihoodfrequentistbayesianbayesmodelcomparisonmixedtrailsdiss
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1Aki Vehtari (@avehtari) | Twitter
https://twitter.com/avehtari
6 years ago by @becker
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bayes
researcher
research
twitter
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1Felix Schönbrodt's blog
http://www.nicebread.de/what-does-a-bayes-factor-feel-like/
6 years ago by @becker
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bayes
factor
illustration
examples
interpretation
table
bayesian
model
comparison
visualization
bayesfactorillustrationexamplesinterpretationtablebayesianmodelcomparisonvisualization
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1OxfordML/heatmap_expts
https://github.com/OxfordML/heatmap_expts
7 years ago by @becker
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bayesian
bayes
hetmap
heat
map
classification
ecml
2017
bayesianbayeshetmapheatmapclassificationecml2017
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6The max-min hill-climbing Bayesian network structure learning algorithm
I. Tsamardinos, L. Brown, and C. Aliferis. Machine learning, 65 (1): 31--78 (2006)
2 years ago by @becker
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paper:fastcor
partial
correlation
causation
bayesian
bayes
network
citedby:scholar:count:1912
citedby:scholar:timestamp:2022-9-23
paper:fastcorpartialcorrelationcausationbayesianbayesnetworkcitedby:scholar:count:1912citedby:scholar:timestamp:2022-9-23
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1Bayesian Structure Learning with Generative Flow Networks
T. Deleu, A. Góis, C. Emezue, M. Rankawat, S. Lacoste-Julien, S. Bauer, and Y. Bengio. arXiv preprint arXiv:2202.13903, (2022)
2 years ago by @becker
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toread
flow
mass
cytometry
cytof
bayes
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networks
bayesian
deep
learning
toreadflowmasscytometrycytofbayesneuralnetworksbayesiandeeplearning
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1Bayesian multitask learning regression for heterogeneous patient cohorts
A. Goncalves, P. Ray, B. Soper, D. Widemann, M. Nyg\aard, J. Nyg\aard, and A. Sales. Journal of Biomedical Informatics: X, (2019)
2 years ago by @becker
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bayes
bayesian
multitask
multi
task
learning
regression
heterogeneous
patient
medical
records
citedby:scholar:count:4
citedby:scholar:timestamp:2022-1-26
bayesbayesianmultitaskmultitasklearningregressionheterogeneouspatientmedicalrecordscitedby:scholar:count:4citedby:scholar:timestamp:2022-1-26
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1Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation
A. Mrowca, F. Gyrock, and S. Günnemann. Data Mining and Knowledge Discovery, (2021)
2 years ago by @becker
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bayes
bayesian
temporal
model
modeling
network
multivariate
sequence
discovery
bayesbayesiantemporalmodelmodelingnetworkmultivariatesequencediscovery
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3BayReL: Bayesian Relational Learning for Multi-omics Data Integration
E. Hajiramezanali, A. Hasanzadeh, N. Duffield, K. Narayanan, and X. Qian. Advances in Neural Information Processing Systems, (2020)
3 years ago by @becker
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bayesian
modeling
bayes
relational
learning
multi
omics
multiomics
data
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bayesianmodelingbayesrelationallearningmultiomicsmultiomicsdataintegration
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BibSonomy

bookmarks (hide)36
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1Bayesian Linear Regression

1GitHub - huawei-noah/HEBO: Bayesian optimisation library developped by Huawei Noah's Ark Library

1Bayesian_Workflow.pdf

1Laplace's Demon: A Seminar Series about Bayesian Machine Learning at Scale - Criteo AI Lab

1(7) David Robinson auf Twitter: "Let's do this ONE LIKE = ONE INSULT OF A DISTRIBUTION" / Twitter

1Bayesian regression predictions - Tutorials - Pyro Discussion Forum

1Remove dependency on TracePosterior and deprecate utilities in AbstractInfer · Issue #1930 · pyro-ppl/pyro

1Financial forecasting with probabilistic programming and Pyro

1What is amortized variational inference? - Quora

1https://scholar.googleusercontent.com/scholar.bib?q=info:vegxY8zEn-EJ:scholar.google.com/&output=citation&scisdr=CgUqPzX2ELPhtbXua4o:AAGBfm0AAAAAXlbrc4r8g9aX1vJ_7ANfvGsZjz2luRyR&scisig=AAGBfm0AAAAAXlbrc2pK3JcRojAQtKHudSF69nVueJ6A&scisf=4&ct=citation&cd=0&hl=en

1Hyperspherical VAE | Nicola De Cao

1Bayesian Neural Network Series Post 2: Background Knowledge

1IraKorshunova/bruno: a deep recurrent model for exchangeable data

1[1802.07535] BRUNO: A Deep Recurrent Model for Exchangeable Data

1statistics - Bayesian Interpretation for Ridge Regression and the Lasso - Mathematics Stack Exchange

1Li-wei H. Lehman - Google Scholar Citations

2Generalized log likelihood ratio test for non-nested models - Cross Validated

1Aki Vehtari (@avehtari) | Twitter

1Felix Schönbrodt's blog

1OxfordML/heatmap_expts

publications (hide)60
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6The max-min hill-climbing Bayesian network structure learning algorithm

1Bayesian Structure Learning with Generative Flow Networks

1Bayesian multitask learning regression for heterogeneous patient cohorts

1Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation

3BayReL: Bayesian Relational Learning for Multi-omics Data Integration

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