Probabilistic Models with Deep Neural Networks
Masegosa et al.: https://arxiv.org/abs/1908.03442
#MachineLearning #NeuralNetworks #StatisticsTheory
Masegosa et al.: https://arxiv.org/abs/1908.03442
#MachineLearning #NeuralNetworks #StatisticsTheory
arXiv.org
Probabilistic Models with Deep Neural Networks
Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to (i) very restricted model...
Practical Posterior Error Bounds from Variational Objectives
Jonathan H. Huggins, Mikołaj Kasprzak, Trevor Campbell, Tamara Broderick : https://arxiv.org/abs/1910.04102
#MachineLearning #StatisticsTheory #VariationalInference
Jonathan H. Huggins, Mikołaj Kasprzak, Trevor Campbell, Tamara Broderick : https://arxiv.org/abs/1910.04102
#MachineLearning #StatisticsTheory #VariationalInference