Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)
☆18Nov 10, 2017Updated 8 years ago
Alternatives and similar repositories for GPML_SLD
Users that are interested in GPML_SLD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Dec 30, 2018Updated 7 years ago
- Numpy compatible polynomial representation☆16Updated this week
- Additive Gaussian Process Bandits - version 1.0☆29Nov 29, 2016Updated 9 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Nov 27, 2016Updated 9 years ago
- Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)☆11Aug 23, 2021Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Aug 20, 2018Updated 8 years ago
- Two multi-objective algorithms with multiple test function options☆13Apr 22, 2018Updated 8 years ago
- Software relating to relational empirical risk minimization☆16Jun 12, 2021Updated 5 years ago
- ☆33Nov 27, 2017Updated 8 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Aug 4, 2013Updated 13 years ago
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 7 years ago
- These functions are included the "Random Forest" and the hybrid Random Forest and Multi-Objective Particle Swarm Optimization ("RF_MOPSO"