git-xp / Non-Convex-NewtonLinks
☆15Updated 7 years ago
Alternatives and similar repositories for Non-Convex-Newton
Users that are interested in Non-Convex-Newton are comparing it to the libraries listed below
Sorting:
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆74Updated 4 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 3 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Updated 6 years ago
- Tensor Train decomposition on TensorFlow☆227Updated 4 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 8 years ago
- Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933☆16Updated 7 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 10 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆12Updated 4 years ago
- Frank-Wolfe optimization variants with a linear convergence rate☆22Updated 9 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Adaptive gradient descent without descent☆52Updated 4 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 11 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 10 years ago
- ☆26Updated 7 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Updated 3 years ago
- Deep convolutional gaussian processes.☆82Updated 6 years ago
- Deep Neural Networks Entropy from Replicas☆34Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆40Updated 7 years ago
- Optimization using Stochastic quasi-Newton methods☆42Updated 9 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Quadrature-based features for kernel approximation☆16Updated 7 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- A branch-and-bound ILP solver☆27Updated 6 years ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆169Updated 2 years ago