Adaptive Fourier-Domain Inference on the Symmetric Group
Algorithmic Aspects of Machine Learning
Rhythms of Information Flow through Networks
Fitting a Graph to Vector Data
Fast Gaussian Process Methods for Point Process Intensity Estimation
Econometrics
Inference for Networks
Minimum Error Entropy Principle for Learning
Topics in Mathematics of Data Science
Can Learning Kernels Help Performance?