Class Type: Fall 2018
Adversarial Networks with Structured Inputs and Outputs
Machine Learning holds large potential for changing how the Air Force operates from advanced reasoning over massive heterogeneous data to learning adaptive models for multi-agent planning, strategy development, and decision making. However, key challenges must be first addressed before this potential is fully realized. This talk will first highlight key …
Mixed-integer bilevel representability
We study the representability of sets that admit extended formulations using mixed-integer bilevel programs. We show that feasible regions modeled by continuous bilevel constraints (with no integer variables), complementarity constraints, and polyhedral reverse convex constraints are all finite unions of polyhedra. Conversely, any finite union of polyhedra can be represented …
Big Data Analytics for Real-time Complex System Monitoring and Prognostics
The rapid advancements of internet of things (IoT) technology and cyber-physical infrastructure have resulted in a temporally and spatially dense data-rich environment, which provides unprecedented opportunities for performance improvement in various complex systems. Meanwhile, it also raises new research challenges on data analysis and decision making, such as heterogeneous data …
How to Poison Linear Regression
I will use linear regression as a guinea pig to illustrate data poisoning attacks in adversary machine learning. An adversary attempts to fool linear regression into learning some wrong regression coefficients: perhaps customers are more satisfied the longer they sit in your waiting room, or maybe Wisconsin isn’t warming. The …
From Dirty Data to Structured Prediction
The advent of data-hungry applications has enabled computers to interpret what they see, communicate in natural language, and answer complex questions. There is a hidden catch, however: the reliance of all these state-of-the-art systems on high-effort tasks like data preparation and data cleaning. It is estimated that 70% to 80% …