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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
3 years ago by @becker
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bayesian
linear
background
bayes
regression
knowledge
integration
bayesianlinearbackgroundbayesregressionknowledgeintegration
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1GitHub - huawei-noah/HEBO: Bayesian optimisation library developped by Huawei Noah's Ark Library
https://github.com/huawei-noah/HEBO
4 years ago by @becker
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huawei
bayesian
optimization
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hebo
huaweibayesianoptimizationbayeshebo
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1Bayesian_Workflow.pdf
https://dpsimpson.github.io/pages/talks/Bayesian_Workflow.pdf
5 years ago by @becker
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workflow
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gelman
bayesianworkflowbayesgelman
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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/
5 years ago by @becker
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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
5 years ago by @becker
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humor
twitter
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fun
bayesianhumortwitterbayesdistributioninsultsinsultfun
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1Bayesian regression predictions - Tutorials - Pyro Discussion Forum
https://forum.pyro.ai/t/bayesian-regression-predictions/1115/8
6 years ago by @becker
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sample
pyrobayesianbayesregressionpredictionsample
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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
6 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
6 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.
6 years ago by @becker
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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
6 years ago by @becker
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bayesianautoencoderautodeepneuralbayesvaelearningencoderalignednetwork
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1Hyperspherical VAE | Nicola De Cao
https://nicola-decao.github.io/s-vae.html
6 years ago by @becker
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variational
bayesian
autoencoder
auto
bayes
vae
afcs
encoder
model
generative
variationalbayesianautoencoderautobayesvaeafcsencodermodelgenerative
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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
7 years ago by @becker
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convolutional
bayesian
cnn
neural
bayes
probability
probabilistic
network
nn
blog
convolutionalbayesiancnnneuralbayesprobabilityprobabilisticnetworknnblog
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1IraKorshunova/bruno: a deep recurrent model for exchangeable data
https://github.com/IraKorshunova/bruno
7 years ago by @becker
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bayesian
gan
deep
neural
bayes
conditional
network
recurrent
nn
generative
bruno
bayesiangandeepneuralbayesconditionalnetworkrecurrentnngenerativebruno
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1[1802.07535] BRUNO: A Deep Recurrent Model for Exchangeable Data
https://arxiv.org/abs/1802.07535
7 years ago by @becker
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bayesian
gan
deep
neural
bayes
network
recurrent
nn
bruno
bayesiangandeepneuralbayesnetworkrecurrentnnbruno
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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
7 years ago by @becker
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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
7 years ago by @becker
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medical
timeseries
bayes
mit
series
parametric
medicin
time
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non
medicaltimeseriesbayesmitseriesparametricmedicintimenonparametricnon
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1Generalized 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
8 years ago by @becker
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bayesian
comparison
frequentist
bayes
mixedtrails
likelihood
model
diss
nested
non
bayesiancomparisonfrequentistbayesmixedtrailslikelihoodmodeldissnestednon
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1Aki Vehtari (@avehtari) | Twitter
https://twitter.com/avehtari
8 years ago by @becker
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twitter
bayes
researcher
research
twitterbayesresearcherresearch
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1Felix Schönbrodt's blog
http://www.nicebread.de/what-does-a-bayes-factor-feel-like/
8 years ago by @becker
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bayesian
comparison
visualization
examples
bayes
illustration
interpretation
model
factor
table
bayesiancomparisonvisualizationexamplesbayesillustrationinterpretationmodelfactortable
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1OxfordML/heatmap_expts
https://github.com/OxfordML/heatmap_expts
8 years ago by @becker
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bayesian
ecml
2017
bayes
hetmap
map
heat
classification
bayesianecml2017bayeshetmapmapheatclassification
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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)
3 years ago by @becker
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bayesian
citedby:scholar:timestamp:2022-9-23
causation
bayes
correlation
citedby:scholar:count:1912
partial
network
paper:fastcor
bayesiancitedby:scholar:timestamp:2022-9-23causationbayescorrelationcitedby:scholar:count:1912partialnetworkpaper:fastcor
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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)
4 years ago by @becker
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cytometry
mass
bayesian
toread
deep
neural
bayes
learning
networks
flow
cytof
cytometrymassbayesiantoreaddeepneuralbayeslearningnetworksflowcytof
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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)
4 years ago by @becker
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multitask
bayesian
medical
records
learning
heterogeneous
multi
task
citedby:scholar:timestamp:2022-1-26
bayes
citedby:scholar:count:4
regression
patient
multitaskbayesianmedicalrecordslearningheterogeneousmultitaskcitedby:scholar:timestamp:2022-1-26bayescitedby:scholar:count:4regressionpatient
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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)
4 years ago by @becker
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sequence
bayesian
modeling
bayes
discovery
multivariate
model
network
temporal
sequencebayesianmodelingbayesdiscoverymultivariatemodelnetworktemporal
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2BayReL: 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)
4 years ago by @becker
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bayesian
modeling
omics
bayes
data
multiomics
learning
relational
multi
integration
bayesianmodelingomicsbayesdatamultiomicslearningrelationalmultiintegration
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2A Bayesian approach for estimating causal effects from observational data
J. Pensar, T. Talvitie, A. Hyttinen, and M. Koivisto. Proceedings of the AAAI Conference on Artificial Intelligence, 34, page 5395--5402. (2020)
5 years ago by @becker
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cytometry
effects
bayesian
biology
citedby:scholar:timestamp:2021-2-11
citedby:scholar:count:2
bayes
effect
medicine
causal
flow
cytometryeffectsbayesianbiologycitedby:scholar:timestamp:2021-2-11citedby:scholar:count:2bayeseffectmedicinecausalflow
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1Inference attacks on genomic data based on probabilistic graphical models
Z. He, and J. Zhou. Big Data Mining and Analytics, 3 (3): 225--233 (2020)
5 years ago by @becker
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Bayesian
inference
privacy
probabilistic
Bayes
attack
model
generative
BayesianinferenceprivacyprobabilisticBayesattackmodelgenerative
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2Relational inductive biases, deep learning, and graph networks
P. Battaglia, J. Hamrick, V. Bapst, A. Sanchez-Gonzalez, V. Zambaldi, M. Malinowski, A. Tacchetti, D. Raposo, A. Santoro, R. Faulkner and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)
5 years ago by @becker
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bayesian
inductive
deep
neural
learning
network
networks
graph
citedby:scholar:count:761
citedby:scholar:timestamp:2020-9-18
bayes
bias
relational
bayesianinductivedeepneurallearningnetworknetworksgraphcitedby:scholar:count:761citedby:scholar:timestamp:2020-9-18bayesbiasrelational
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12OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning
F. Lautenschlager, M. Becker, K. Kobs, M. Steininger, P. Davidson, A. Krause, and A. Hotho. Atmospheric Environment, (2020)
6 years ago by @becker
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automl
project:bmbf
myown
use
everyaware
air
lur
quality
eva
optimization
bayes
regression
land
open
automlproject:bmbfmyownuseeveryawareairlurqualityevaoptimizationbayesregressionlandopen
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1A novel Chow--Liu algorithm and its application to gene differential analysis
J. Suzuki. International Journal of Approximate Reasoning, (2017)
6 years ago by @becker
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bayesian
nalab
chow
gene
bayes
continuous
liu
learning
structure
bayesiannalabchowgenebayescontinuousliulearningstructure
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2Hyperspherical Variational Auto-Encoders
T. Davidson, L. Falorsi, N. De Cao, T. Kipf, and J. Tomczak. 34th Conference on Uncertainty in Artificial Intelligence (UAI-18), (2018)
6 years ago by @becker
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variational
bayesian
autoencoder
auto
related
bayes
work
vae
afcs
encoder
model
generative
variationalbayesianautoencoderautorelatedbayesworkvaeafcsencodermodelgenerative
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1Single-Cell Data Analysis Using MMD Variational Autoencoder for a More Informative Latent Representation
C. Zhang. bioRxiv, (2019)
6 years ago by @becker
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bayesian
auto
bayes
vae
afcs
encoder
model
veriation
singel
generative
cell
cytof
bayesianautobayesvaeafcsencodermodelveriationsingelgenerativecellcytof
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5Air Trails--Urban Air Quality Campaign Exploration Patterns
M. Becker, F. Lautenschlager, and A. Hotho. Proceedings of VGI-ALIVE 2018 Workshop, colocated with AGILE 2018, (2018)
7 years ago by @becker
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hyptrails
myown
bayesian
comparison
bayes
mixedtrails
everyaware
air
p2map
model
eva
hyptrailsmyownbayesiancomparisonbayesmixedtrailseveryawareairp2mapmodeleva
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3Not so naive Bayes: aggregating one-dependence estimators
G. Webb, J. Boughton, and Z. Wang. Machine learning, 58 (1): 5--24 (2005)
7 years ago by @thoni
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notsonaive
citedby:scholar:timestamp:2018-11-19
bayes
citedby:scholar:count:610
dependencies
classification
naive
notsonaivecitedby:scholar:timestamp:2018-11-19bayescitedby:scholar:count:610dependenciesclassificationnaive
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4A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
Y. Teh, D. Newman, and M. Welling. Advances in neural information processing systems, page 1353--1360. (2007)
8 years ago by @becker
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bayes
graphical
hierarchical
citedby:scholar:count:462
lda
model
citedby:scholar:timestamp:2018-4-4
network
bayesgraphicalhierarchicalcitedby:scholar:count:462ldamodelcitedby:scholar:timestamp:2018-4-4network
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1On the Bayesian” Occam factors” argument for Occam’s razor
D. Wolpert, and others. Computational learning theory and natural learning systems III, T. Petsche et al.(eds), (1995)
8 years ago by @becker
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occam
bayesian
comparison
toread
bayes
citedby:scholar:count:14
citedby:scholar:timestamp:2018-3-21
razor
model
occams
factor
occambayesiancomparisontoreadbayescitedby:scholar:count:14citedby:scholar:timestamp:2018-3-21razormodeloccamsfactor
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1When did Bayesian inference become" Bayesian"?
S. Fienberg, and others. Bayesian analysis, 1 (1): 1--40 (2006)
8 years ago by @becker
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citedby:scholar:timestamp:2018-3-19
bayesian
toread
inference
bayes
interesting
history
citedby:scholar:count:214
citedby:scholar:timestamp:2018-3-19bayesiantoreadinferencebayesinterestinghistorycitedby:scholar:count:214
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1Bayesian nonparametric hidden Markov models
J. Van Gael. University of Cambridge, (2012)
8 years ago by @becker
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thesis
bayesian
bayes
hidden
parametric
model
nonparametric
non
markov
thesisbayesianbayeshiddenparametricmodelnonparametricnonmarkov
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4Bayesian nonparametric hidden semi-Markov models
M. Johnson, and A. Willsky. Journal of Machine Learning Research, 14 (Feb): 673--701 (2013)
8 years ago by @becker
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bayesian
time4all
citedby:scholar:count:182
hidden
nonparametric
non
bayes
series
unsupervised
parametric
semi
time
model
markov
citedby:scholar:timestamp:2018-3-13
bayesiantime4allcitedby:scholar:count:182hiddennonparametricnonbayesseriesunsupervisedparametricsemitimemodelmarkovcitedby:scholar:timestamp:2018-3-13
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4Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications
F. Lemmerich, P. Singer, M. Becker, L. Espin-Noboa, D. Dimitrov, D. Helic, A. Hotho, and M. Strohmaier. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 354--357. Springer, (2017)
8 years ago by @becker
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hyptrails
myown
bayesian
comparison
ecml
bayes
data
sequential
nectar
hyptrailsmyownbayesiancomparisonecmlbayesdatasequentialnectar
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