otokonoko8's Stars
bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
dilinwang820/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
ssydasheng/Bayesian_neural_network_papers
Papers for Bayesian-NN
2prime/ODE-DL
Paper List For Linking ODE and Deep Learning
mcgrady20150318/BayesianNeuralNetwork
a repo sharing Bayesian Neural Network recent papers
kirthevasank/nasbot
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
ermongroup/a-nice-mc
Code for "A-NICE-MC: Adversarial Training for MCMC"
otokonoko8/deep-Bayesian-nonparametrics-papers
The collection of papers about combining deep learning and Bayesian nonparametrics
otokonoko8/implicit-variational-inference
The collection of recent papers about variational inference
ssydasheng/FBNN
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
ssydasheng/Neural-Kernel-Network
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
mingzhang-yin/SIVI
Using neural networks to build an expressive hierarchical distribution; A variational inference method to accurately estimate the posterior uncertainty; A fast and general method for approximate Bayesian inference. (ICML 2018)
thjashin/gp-infer-net
Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
hughsalimbeni/DGPs_with_IWVI
Deep Gaussian Processes with Importance-Weighted Variational Inference
thjashin/spectral-stein-grad
Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
ermongroup/lagvae
Lagrangian VAE
gd-zhang/noisy-K-FAC
Natural Gradient, Variational Inference
WenboGong/MetaSGMCMC
The code for Meta Learning for SGMCMC
gianlucadetommaso/Stein-variational-samplers
Python and MATLAB code for Stein Variational sampling methods
HanxiSun/SteinNS
code for Stein Neural Sampler
thu-ml/fpovi
Code for "Function Space Particle Optimization for Bayesian Neural Networks"
changliu00/FGH-flow
Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)
wilson-ye-chen/sp-mcmc
MATLAB code for Stein Point Markov Chain Monte Carlo.
YingzhenLi/PhDThesis
Final version of the submitted thesis, for my PhD degree
dilinwang820/matrix_svgd
Stein Variational Gradient Descent with Matrix-Valued Kernels
fangleai/Variational-inference-on-MNIST
A list of variational inference algorithms and their performance on MNIST