tushuhei / gpucbLinks
Simple implementation of GP-UCB algorithm.
☆53Updated 8 years ago
Alternatives and similar repositories for gpucb
Users that are interested in gpucb are comparing it to the libraries listed below
Sorting:
- Simple implementation of the CGP-UCB algorithm.☆36Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- ☆66Updated 4 years ago
- Implementation of the Functional Neural Process models☆43Updated 5 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆60Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆72Updated 4 years ago
- Modular PyTorch implementation of policy gradient methods☆25Updated 6 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆13Updated 6 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- ☆78Updated 4 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆104Updated 3 years ago
- Learning error bars for neural network predictions☆71Updated 5 years ago
- ☆123Updated last year
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- Bayesian neural network package☆148Updated 4 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Hypergradient descent☆149Updated last year
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- ☆15Updated 5 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆95Updated 4 years ago