tushuhei / gpucbLinks
Simple implementation of GP-UCB algorithm.
☆54Updated 8 years ago
Alternatives and similar repositories for gpucb
Users that are interested in gpucb are comparing it to the libraries listed below
Sorting:
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- ☆78Updated 4 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- ☆124Updated last year
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- Code repository for Ensemble Bayesian Optimization☆54Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Simple implementation of the CGP-UCB algorithm.☆37Updated 5 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Updated last year
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆62Updated 3 years ago
- ☆67Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- ☆38Updated 3 years ago
- Hypergradient descent☆148Updated last year
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- ☆43Updated 7 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆104Updated 3 years ago