naesseth / nestedsmcLinks
Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.
☆14Updated 9 years ago
Alternatives and similar repositories for nestedsmc
Users that are interested in nestedsmc are comparing it to the libraries listed below
Sorting:
- ☆12Updated 3 weeks ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆11Updated last year
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Notes from Simons Institute program "Foundations of Machine Learning"☆13Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- ☆10Updated 7 years ago
- Code for AutoGP☆26Updated 5 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- ☆11Updated 8 years ago
- Optimally-weighted herding is Bayesian Quadrature☆16Updated 8 years ago
- Langevin Incremental Mixture Importance Sampling☆8Updated 8 years ago
- ☆14Updated 9 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- experiments with cellular automata☆11Updated 6 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- Basic probability manipulation routines for discrete variables☆29Updated 7 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- A Bayesian latent tree model of high-dimensional heterogeneous data☆23Updated 7 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago