Pinned Repositories
approximate_message_passing
A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO
bayespy
Bayesian Python: Bayesian inference tools for Python
book_StatMachineLearn_with_Python
Conjugate-Gradient
Painless conjugate gradient notebooks
Copula-Variational-Bayes
Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2018
DukeLecture2018
Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
GeneralizedLinearModel2017
Codes corresponding to the paper https://arxiv.org/abs/1708.03395
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Variational-Bayes
Variational Bayes, Natural Gradient, Reparameterization Trick, Conjugate Gradient, Quasi-Newton Gradient, Belief propagation, AMP
guxiaosi's Repositories
guxiaosi/Variational-Bayes
Variational Bayes, Natural Gradient, Reparameterization Trick, Conjugate Gradient, Quasi-Newton Gradient, Belief propagation, AMP
guxiaosi/approximate_message_passing
A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO
guxiaosi/bayespy
Bayesian Python: Bayesian inference tools for Python
guxiaosi/book_StatMachineLearn_with_Python
guxiaosi/Conjugate-Gradient
Painless conjugate gradient notebooks
guxiaosi/Copula-Variational-Bayes
Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2018
guxiaosi/DukeLecture2018
Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"
guxiaosi/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
guxiaosi/GeneralizedLinearModel2017
Codes corresponding to the paper https://arxiv.org/abs/1708.03395
guxiaosi/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
guxiaosi/GenErrorSSL_2022
Codes for "Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning"
guxiaosi/gu52.github.io
guxiaosi/higher_order_invariance
Code for "Accelerating Natural Gradient with Higher-Order Invariance"
guxiaosi/MCMC
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
guxiaosi/natural-gradients
Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
guxiaosi/probabilistic-models
Collection of probabilistic models and inference algorithms
guxiaosi/prox-grad-svi
Proximal Gradient Stochastic Variational Inference Based on UAI-2016 paper by Khan, Babanezhad, Lin, Schmidt, and Sugiyama
guxiaosi/SIVI
guxiaosi/SLOPE_AMP
Code to accompany the paper "Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing"
guxiaosi/Sparse-Group-Lasso-AMP
guxiaosi/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
guxiaosi/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
guxiaosi/Tutorial-on-VB