
Cheatsheet of Latex Code for Most Popular Machine Learning Equations
rockingdingo 20220918 #GAN #VAE #KLDivergence #Wasserstein #MahalanobisIn this blog, we will summarize the latex code for most popular machine learning equations, including multiple distance measures, generative models, etc. There are various distance measurements of different data distribution, including KLDivergence, JSDivergence, Wasserstein Distance(Optimal Transport), Maximum Mean Discrepancy(MMD) and so on. We will provide the latex code for machine learning models in the following sections. We will also provide latex code of Generative Adversarial Networks(GAN), Variational AutoEncoder(VAE), Diffusion Models(DDPM) for generative models in the second section.
READ MORE 
CrossDomain Recommendation in Commercial Recommendation System With application of MMD and Wasserstein distance
rockingdingo 20210725 #cross domain recommendation #mmd #wassersteinCrossDomain Recommendation in Commercial Recommendation System With application of MMD and Wasserstein distance
READ MORE