#Bayesian Optimization framework can intelligently trade off experiments w/ varying cost & fidelity. We achieve strong regret bounds as well as state-of-the-art performance on multiple real-world #datasets! Preprint: https://arxiv.org/abs/1811.00755v1
#machinelearning
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
#machinelearning
✴️ @AI_Python_EN
🗣 @AI_Python_arXiv
❇️ @AI_Python
Practical Deep Learning with Bayesian Principles
Osawa et al.: https://arxiv.org/pdf/1906.02506.pdf
#Bayesian #DeepLearning #PyTorch #VariationalInference
✴️ @AI_Python_EN
Osawa et al.: https://arxiv.org/pdf/1906.02506.pdf
#Bayesian #DeepLearning #PyTorch #VariationalInference
✴️ @AI_Python_EN
Bayesian Deep Learning Benchmarks
GitHub, by the Oxford Applied and Theoretical Machine Learning group
https://github.com/OATML/bdl-benchmarks
#Bayesian #DeepLearning
✴️ @AI_Python_EN
GitHub, by the Oxford Applied and Theoretical Machine Learning group
https://github.com/OATML/bdl-benchmarks
#Bayesian #DeepLearning
✴️ @AI_Python_EN
Neural Density Estimation and Likelihood-free Inference
George Papamakarios
https://arxiv.org/pdf/1910.13233.pdf
#Bayesian #NeuralDensityEstimation #Inference
✴️ @AI_Python_EN
George Papamakarios
https://arxiv.org/pdf/1910.13233.pdf
#Bayesian #NeuralDensityEstimation #Inference
✴️ @AI_Python_EN