mauriziofilippone / preconditioned_GPsLinks
Preconditioning Kernel Matrices
☆15Updated 8 years ago
Alternatives and similar repositories for preconditioned_GPs
Users that are interested in preconditioned_GPs are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Code for the arxiv paper☆9Updated 10 years ago
- ☆11Updated 8 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Repository for Chained Gaussian Processes☆14Updated 9 years ago
- Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.☆12Updated 8 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated last month
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago