ppletscher / BCFWstruct
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
☆25Updated 11 years ago
Alternatives and similar repositories for BCFWstruct:
Users that are interested in BCFWstruct are comparing it to the libraries listed below
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Frank-Wolfe optimization variants with a linear convergence rate☆20Updated 8 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 4 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Legendre decomposition for tensors☆13Updated 6 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- ☆19Updated 8 years ago
- ☆38Updated 7 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- Visualizes gradient descent techniques on functions of two variables f(x, y): Stochastic Gradient Descent, Momentum, Nesterov's Accelerat…☆13Updated 7 years ago
- ☆13Updated 8 years ago
- A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.☆79Updated 5 years ago
- Python implementation of Sum-Product for Factor Graphs☆44Updated 8 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.☆57Updated 9 years ago
- L1 regularized Least Squares minimization problem solver.☆17Updated 8 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Gradient-based optimization algorithms in Python☆49Updated 6 years ago