sbarratt / lsat
"Least Squares Auto-Tuning" paper repository
☆9Updated 5 years ago
Alternatives and similar repositories for lsat:
Users that are interested in lsat are comparing it to the libraries listed below
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Code for AutoGP☆26Updated 5 years ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Implementation of the PAC Bayesian GP learning method.☆10Updated 6 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Pytorch package for geometric softmax☆12Updated 5 years ago
- A CVXPY extension for multi-convex programming☆46Updated last year
- Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…☆18Updated 4 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 5 years ago
- Legendre decomposition for tensors☆13Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- Code for "Automatic repair of convex optimization problems".☆14Updated 5 years ago
- gpbo☆25Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago
- A Python environment for large-scale optimization.☆30Updated 7 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Updated 5 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 10 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 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
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆29Updated 7 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago