research
∙
02/16/2023
Adaptive Selective Sampling for Online Prediction with Experts
We consider online prediction of a binary sequence with expert advice. F...
share
research
∙
09/07/2020
Anomaly Detection in Stationary Settings: A Permutation-Based Higher Criticism Approach
Anomaly detection when observing a large number of data streams is essen...
research
∙
05/21/2020
Detecting a botnet in a network
We formalize the problem of detecting the presence of a botnet in a netw...
research
∙
11/26/2019
A Statistical Model for Dynamic Networks with Neural Variational Inference
In this paper we propose a statistical model for dynamically evolving ne...
research
∙
11/11/2019
Restricted Boltzmann Stochastic Block Model: A Generative Model for Networks with Attributes
In most practical contexts network indexed data consists not only of a d...
research
∙
09/07/2019
