'Posterior Consistency for Bayesian Relevance Vector Machines', by Xiao Fang, Malay Ghosh.

http://jmlr.org/papers/v24/20-1012.html

#posterior #priors #relevance

'Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations', by Arnab Ganguly, Riten Mitra, Jinpu Zhou.

http://jmlr.org/papers/v24/22-0582.html

#stochastic #sparse #priors

random walk, n., the route through an open plan office taken by a #statistician whilst waiting for their #MCMC chains to converge (hopefully). Expected length of route may depend on factors such as hardware specifications, informativeness of #priors, and whether there's a good coffee machine nearby. #statsodon #Bayesian #iamworking @pymc

'Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching', by Eliezer de Souza da Silva, Tomasz Kuśmierczyk, Marcelo Hartmann, Arto Klami.

http://jmlr.org/papers/v24/21-0623.html

#factorization #hyperparameters #priors

'Posterior Contraction for Deep Gaussian Process Priors', by Gianluca Finocchio, Johannes Schmidt-Hieber.

http://jmlr.org/papers/v24/21-0556.html

#priors #posterior #gaussian

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

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

#priors #prior #deep

SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning

Marco Bagatella, Sammy Joe Christen, Otmar Hilliges

https://openreview.net/forum?id=qYNfwFCX9a

#reinforcement #exploration #priors

'Learning-augmented count-min sketches via Bayesian nonparametrics', by Emanuele Dolera, Stefano Favaro, Stefano Peluchetti.

http://jmlr.org/papers/v24/21-0096.html

#priors #nonparametrics #nonparametric

'An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference', by Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas.

http://jmlr.org/papers/v23/19-1047.html

#posteriors #priors #generalization

@heleenslagter Menno Oosterhof has OCD and used psilicybine. It freed him in certain ways from his OCD preoccupations. I think this can be explained largely with what you and Ruben Laukkonen explained in Laukkonen RE, Slagter HA (2021): From many to (n)one: Meditation and the plasticity of the predictive mindNeuroscience & Biobehavioral Reviews 128:199–217.
So I think meditation and psilocybine might do the same. OCD must be related to rigid priors. Do you have any ideas about that. Or has anybody else for that matter? #neuroscience #OCD #psilocybine #self #priors

@heleenslagter Menno Oosterhof has OCD and used psilicybine. It freed him in certain ways from his OCD preocculations. I think this can be explained largely with what you and Ruben Laukkonen explained in Laukkonen RE, Slagter HA (2021): From many to (n)one: Meditation and the plasticity of the predictive mindNeuroscience & Biobehavioral Reviews 128:199–217.
So I think meditation and psilocybine might do the same. OCD must be related to rigid priors. Do you have any ideas about that. Or has anybody else for that matter? #neuroscience #OCD #psilocybine #self #priors

Topic: Workflows for better priors

Bayesian models rely on prior distributions that encode knowledge about the problem, but specifying good priors is often difficult in practice. We are working on multiple fronts on making it easier, with contributions to e.g. prior elicitation, prior diagnostics, prior checking, and specification of priors in predictive spaces.

#Bayes #priors