locuslab / newton_admmLinks
A Newton ADMM based solver for Cone programming.
☆39Updated 8 years ago
Alternatives and similar repositories for newton_admm
Users that are interested in newton_admm are comparing it to the libraries listed below
Sorting:
- ☆67Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- A Python convex optimization package using proximal splitting methods☆112Updated 2 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- ☆65Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆38Updated 7 years ago
- Functional ANOVA☆27Updated 10 years ago
- ☆19Updated 7 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Neural network training using iterated projections.☆90Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- ☆77Updated 3 years ago
- The differentiable OSQP solver layer for PyTorch☆63Updated 2 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year