#priors — Public Fediverse posts

'Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights', by Insung Kong, Yongdai Kim.

http://jmlr.org/papers/v26/24-0425.html

#priors #sparse #bnn

'Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights', by Insung Kong, Yongdai Kim.

http://jmlr.org/papers/v26/24-0425.html

#priors #sparse #bnn

'Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes', by Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif.

http://jmlr.org/papers/v26/23-025.html

#gibbs #priors #bernstein

'Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes', by Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif.

http://jmlr.org/papers/v26/23-025.html

#gibbs #priors #bernstein

'A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators', by Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang.

http://jmlr.org/papers/v25/22-1491.html

#priors #kernels #prior

'A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators', by Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang.

http://jmlr.org/papers/v25/22-1491.html

#priors #kernels #prior

'Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix', by Anindya Bhadra, Ksheera Sagar, David Rowe, Sayantan Banerjee, Jyotishka Datta.

http://jmlr.org/papers/v25/23-0254.html

#priors #prior #gaussian

'Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix', by Anindya Bhadra, Ksheera Sagar, David Rowe, Sayantan Banerjee, Jyotishka Datta.

http://jmlr.org/papers/v25/23-0254.html

#priors #prior #gaussian

'Structured Optimal Variational Inference for Dynamic Latent Space Models', by Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick.

http://jmlr.org/papers/v25/22-0514.html

#variational #models #priors

'Structured Optimal Variational Inference for Dynamic Latent Space Models', by Peng Zhao, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick.

http://jmlr.org/papers/v25/22-0514.html

#variational #models #priors

'Random measure priors in Bayesian recovery from sketches', by Mario Beraha, Stefano Favaro, Matteo Sesia.

http://jmlr.org/papers/v25/23-1058.html

#hashing #priors #prior

'Random measure priors in Bayesian recovery from sketches', by Mario Beraha, Stefano Favaro, Matteo Sesia.

http://jmlr.org/papers/v25/23-1058.html

#hashing #priors #prior

'Pre-trained Gaussian Processes for Bayesian Optimization', by Zi Wang et al.

http://jmlr.org/papers/v25/23-0269.html

#priors #prior #hyperparameters

'Pre-trained Gaussian Processes for Bayesian Optimization', by Zi Wang et al.

http://jmlr.org/papers/v25/23-0269.html

#priors #prior #hyperparameters

'A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression', by Youngseok Kim, Wei Wang, Peter Carbonetto, Matthew Stephens.

http://jmlr.org/papers/v25/22-0953.html

#lasso #penalized #priors

'A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression', by Youngseok Kim, Wei Wang, Peter Carbonetto, Matthew Stephens.

http://jmlr.org/papers/v25/22-0953.html

#lasso #penalized #priors

'MAP- and MLE-Based Teaching', by Hans Ulrich Simon, Jan Arne Telle.

http://jmlr.org/papers/v25/23-1086.html

#likelihoods #priors #likelihood

'MAP- and MLE-Based Teaching', by Hans Ulrich Simon, Jan Arne Telle.

http://jmlr.org/papers/v25/23-1086.html

#likelihoods #priors #likelihood

'Differentially private methods for managing model uncertainty in linear regression', by Víctor Peña, Andrés F. Barrientos.

http://jmlr.org/papers/v25/21-1536.html

#privacy #private #priors

'Differentially private methods for managing model uncertainty in linear regression', by Víctor Peña, Andrés F. Barrientos.

http://jmlr.org/papers/v25/21-1536.html

#privacy #private #priors

Meisha & The Spanks + Priors + Taxi Girls

Turbo Haüs, Thursday, 30 May (20:00)

https://montreal.askapunk.net/event/meisha-and-the-spanks-priors-taxi-girls

Science Man, Priors, Psychbike, White Knuckle

Traxide, Sunday, 14 April (21:00)

https://montreal.askapunk.net/event/science-man-priors-psychbike-white-knuckle

'The Art of BART: Minimax Optimality over Nonhomogeneous Smoothness in High Dimension', by Seonghyun Jeong, Veronika Rockova.

http://jmlr.org/papers/v24/22-0382.html

#priors #sparse #minimax

Chasing Better Deep Image Priors between Over- and Under-parameterization

Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang

Action editor: Yanwei Fu.

https://openreview.net/forum?id=EwJJks2cSa

#priors #prior #deep