becker > bayesian | BibSonomy

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1Bayesian linear regression for practitioners • Max Halford
https://maxhalford.github.io/blog/bayesian-linear-regression/
5 months ago by @becker
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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
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background
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2GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch
https://github.com/cornellius-gp/gpytorch
2 years ago by @becker
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gaussian
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torch
bayesiangaussiangpuinferencelearningprocessprocessespythonpytorchtorch
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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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hebo
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1Bayesian_Workflow.pdf
https://dpsimpson.github.io/pages/talks/Bayesian_Workflow.pdf
3 years ago by @becker
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gelmanworkflowbayesbayesian
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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 networks
J. Pearl. (2011)
2 years ago by @becker
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bayesian
networks
project:fastcor
citedby:scholar:count:675
citedby:scholar:timestamp:2022-9-10
bayesiannetworksproject:fastcorcitedby:scholar:count:675citedby:scholar:timestamp:2022-9-10
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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
neural
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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bayesian
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task
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regression
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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
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temporal
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modeling
network
multivariate
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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
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omics
multiomics
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bayesianmodelingbayesrelationallearningmultiomicsmultiomicsdataintegration
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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)
3 years ago by @becker
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flow
cytometry
bayesian
causal
bayes
effect
effects
biology
medicine
citedby:scholar:count:2
citedby:scholar:timestamp:2021-2-11
flowcytometrybayesiancausalbayeseffecteffectsbiologymedicinecitedby:scholar:count:2citedby:scholar:timestamp:2021-2-11
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2Inference attacks on genomic data based on probabilistic graphical models
Z. He, and J. Zhou. Big Data Mining and Analytics, 3 (3): 225--233 (2020)
3 years ago by @becker
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generative
model
attack
privacy
probabilistic
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Bayes
Bayesian
generativemodelattackprivacyprobabilisticinferenceBayesBayesian
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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)
4 years ago by @becker
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inductive
bias
bayes
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network
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learning
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graph
networks
citedby:scholar:count:761
citedby:scholar:timestamp:2020-9-18
inductivebiasbayesbayesianneuralnetworkdeeplearningrelationalgraphnetworkscitedby:scholar:count:761citedby:scholar:timestamp:2020-9-18
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2A novel Chow--Liu algorithm and its application to gene differential analysis
J. Suzuki. International Journal of Approximate Reasoning, (2017)
4 years ago by @becker
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bayes
bayesian
chow
continuous
gene
learning
liu
nalab
structure
bayesbayesianchowcontinuousgenelearningliunalabstructure
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3Hyperspherical 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)
5 years ago by @becker
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afcs
auto
autoencoder
bayes
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encoder
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afcsautoautoencoderbayesbayesianencodergenerativemodelrelatedvaevariationalwork
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1Single-Cell Data Analysis Using MMD Variational Autoencoder for a More Informative Latent Representation
C. Zhang. bioRxiv, (2019)
5 years ago by @becker
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auto
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vae
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afcsautobayesbayesiancellcytofencodergenerativemodelsingelvaeveriation
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3Understanding Human Navigation using Bayesian Hypothesis Comparison
M. Becker. University of Würzburg, Doctoral Thesis, (2018)
5 years ago by @becker
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bayesian
behavior
comparison
geo
hypothesis
model
myown
navigation
phd
phd:thesis
skipstats
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thesis
bayesianbehaviorcomparisongeohypothesismodelmyownnavigationphdphd:thesisskipstatsspatialthesis
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1Generative modeling and latent space arithmetics predict single-cell perturbation response across cell types, studies and species
M. Lotfollahi, F. Wolf, and F. Theis. bioRxiv, (2018)
5 years ago by @becker
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vae
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1Deep generative modeling for single-cell transcriptomics
R. Lopez, J. Regier, M. Cole, M. Jordan, and N. Yosef. Nature Methods, 15 (12): 1053--1058 (2018)
5 years ago by @becker
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acfsbayesiancellgenerativemodelsingelvae
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2Gaussian process kernels for pattern discovery and extrapolation
A. Wilson, and R. Adams. International Conference on Machine Learning, page 1067--1075. (2013)
5 years ago by @becker
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bayesian
discovery
gaussian
gp
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pattern
process
bayesiandiscoverygaussiangpmodelpatternprocess
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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)
5 years ago by @becker
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air
bayes
bayesian
comparison
eva
everyaware
hyptrails
mixedtrails
model
myown
p2map
airbayesbayesiancomparisonevaeveryawarehyptrailsmixedtrailsmodelmyownp2map
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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)
6 years ago by @becker
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occams
razor
occam
bayes
factor
bayesian
model
comparison
toread
citedby:scholar:count:14
citedby:scholar:timestamp:2018-3-21
occamsrazoroccambayesfactorbayesianmodelcomparisontoreadcitedby:scholar:count:14citedby:scholar:timestamp:2018-3-21
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1When did Bayesian inference become" Bayesian"?
S. Fienberg, and others. Bayesian analysis, 1 (1): 1--40 (2006)
6 years ago by @becker
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bayesian
bayes
inference
history
toread
interesting
citedby:scholar:count:214
citedby:scholar:timestamp:2018-3-19
bayesianbayesinferencehistorytoreadinterestingcitedby:scholar:count:214citedby:scholar:timestamp:2018-3-19
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1Bayesian nonparametric hidden Markov models
J. Van Gael. University of Cambridge, (2012)
6 years ago by @becker
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bayesian
hidden
markov
model
non
parametric
nonparametric
thesis
bayesbayesianhiddenmarkovmodelnonparametricnonparametricthesis
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BibSonomy

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1Bayesian linear regression for practitioners • Max Halford

1Bayesian Linear Regression

2GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch

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

1Bayesian_Workflow.pdf

publications (hide)46
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6The max-min hill-climbing Bayesian network structure learning algorithm

1Bayesian networks

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

2A Bayesian approach for estimating causal effects from observational data

2Inference attacks on genomic data based on probabilistic graphical models

2Relational inductive biases, deep learning, and graph networks

2A novel Chow--Liu algorithm and its application to gene differential analysis

3Hyperspherical Variational Auto-Encoders

1Single-Cell Data Analysis Using MMD Variational Autoencoder for a More Informative Latent Representation

3Understanding Human Navigation using Bayesian Hypothesis Comparison

1Generative modeling and latent space arithmetics predict single-cell perturbation response across cell types, studies and species

1Deep generative modeling for single-cell transcriptomics

2Gaussian process kernels for pattern discovery and extrapolation

5Air Trails--Urban Air Quality Campaign Exploration Patterns

1On the Bayesian” Occam factors” argument for Occam’s razor

1When did Bayesian inference become" Bayesian"?

1Bayesian nonparametric hidden Markov models

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