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
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 2 years ago
- ☆67Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆46Updated 2 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- Learning error bars for neural network predictions☆72Updated 5 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Random Fourier Features☆50Updated 8 years ago
- ☆124Updated last year
- ☆39Updated 3 years ago
- Bayesian neural network package☆152Updated 4 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 8 months ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- ☆43Updated 7 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago