Instructional design is a fundamental base for educational technologies as itlays the foundation to facilitate learning and teaching based on pedagogicalunderpinnings. However, most of the educational technologies today face twocore challenges in this context: (i) lack of instructional design as a...

To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The features are designed so that the inner products of the transformed data are approximately equal to those in the feature...

Popular generative model learning methods such as Generative Adversarial Networks (GANs), and Variational Autoencoders (VAE) enforce the latent representation to follow simple distributions such as isotropic Gaussian. In this paper, we argue that learning a complicated distribution over the latent...