3 papers
cs.LG2021
Looper: An end-to-end ML platform for product decisions
Igor L. Markov, Hanson Wang, Nitya Kasturi +16
Modern software systems and products increasingly rely on machine learning models to make data-driven decisions based on interactions with users, infrastructure and other systems.…
cs.LG2019
Disagreement-based Active Learning in Online Settings
Boshuang Huang, Sudeep Salgia, Qing Zhao
We study online active learning for classifying streaming instances within the framework of statistical learning theory. At each time, the learner either queries the label of the c…
cs.IT2017
Active Anomaly Detection in Heterogeneous Processes
Boshuang Huang, Kobi Cohen, Qing Zhao
An active inference problem of detecting anomalies among heterogeneous processes is considered. At each time, a subset of processes can be probed. The objective is to design a sequ…