大規模データセットでの推論に便利なSVIの概要をまとめました.
SVIは確率的最適化の枠組みで行う変分ベイズ法です.
随時更新してます.
参考文献
[1]Matthew D Hoffman, David M Blei, Chong Wang, and John Paisley. Stochastic variational inference. The Journal of Machine Learning Research, Vol. 14, No. 1, pp. 1303–1347, 2013.
[2] 佐藤一誠. トピックモデルによる統計的意味解析. コロナ社, 2015.
大規模データセットでの推論に便利なSVIの概要をまとめました.
SVIは確率的最適化の枠組みで行う変分ベイズ法です.
随時更新してます.
参考文献
[1]Matthew D Hoffman, David M Blei, Chong Wang, and John Paisley. Stochastic variational inference. The Journal of Machine Learning Research, Vol. 14, No. 1, pp. 1303–1347, 2013.
[2] 佐藤一誠. トピックモデルによる統計的意味解析. コロナ社, 2015.
以下の6つの論文をゼミで紹介した
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Spectral Normalization for Generative Adversarial Networks
cGANs with Projection Discriminator
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Are GANs Created Equal? A Large-Scale Study
Improved Training of Wasserstein GANs
First part shows several methods to sample points from arbitrary distributions. Second part shows application to population genetics to infer population size and divergence time using obtained sequence data.
以下の6つの論文をゼミで紹介した
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Spectral Normalization for Generative Adversarial Networks
cGANs with Projection Discriminator
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Are GANs Created Equal? A Large-Scale Study
Improved Training of Wasserstein GANs
First part shows several methods to sample points from arbitrary distributions. Second part shows application to population genetics to infer population size and divergence time using obtained sequence data.