IDEAL Workshop on Computational vs Statistical Tradeoffs in Network Inference

June 29, 2020

Network models have been used as a tool to understand the role of interconnections between entities in multiple research areas like sociology, biology, meteorology, economics, and computer science. Moreover emerging technological developments allow collecting data on increasingly larger networks. This leads to both computational and statistical challenges when inferring or learning the structure of such networks. This workshop will cover some of the advances in the last decade on understanding trade-offs between statistical and computational efficiency for many inference problems on large networks. The workshop speakers are Andrea Montanari, Ankur Moitra, and Liza Levina. There will be short talks from 11am-3:15pm CT and a panel discussion 3:25-4pm CT. Participants can register to join on Zoom (see link for details), or watch the live stream.