Events Calendar

CS Colloquium & Yahoo! Labs Seminar: Jure Leskovec (Stanford) - Machine Learning for Human Decision Making

Speaker: Jure Leskovec, Stanford University

Talk Title: Machine Learning for Human Decision Making

Series: Yahoo! Labs Machine Learning Seminar Series

Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium

In many real-life settings human judges are making decisions and choosing among many alternatives in order to label or classify items: Medical doctor diagnosing a patient, criminal court judge making a decision, a crowd-worker labeling an image, and a student answering a multiple-choice question. Gaining insights into human decision making is important for determining the quality of individual decisions as well as identifying mistakes and biases. In this talk we discuss the question of developing machine learning methodology for estimating the quality of individual judges and obtaining diagnostic insights into how various judges decide on different kinds of items. We develop a series of increasingly powerful hierarchical Bayesian models which infer latent groups of judges and items with the goal of obtaining insights into the underlying decision process. We apply our framework to a wide range of real-world domains, and demonstrate that our approach can accurately predict judges decisions, diagnose types of mistakes judges tend to make, and infer true labels of items.

The lecture will be available to stream HERE. [For best quality, right click -> open in new tab]

Biography: Jure Leskovec is assistant professor of Computer Science at Stanford University and chief scientist at Pinterest. His research focuses on mining large social and information networks, their evolution, and the diffusion of information and influence over them. Computation over massive data is at the heart of his research and has applications in computer science, social sciences, economics, marketing, and healthcare. This research has won several awards including a Lagrange Prize, Microsoft Research Faculty Fellowship, Alfred P. Sloan Fellowship, and numerous best paper awards. Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, and his PhD in in machine learning from the Carnegie Mellon University and postdoctoral training at Cornell University. You can follow him on Twitter @jure

Host: Yan Liu

More Info: http://www-bcf.usc.edu/~liu32/mlseminar.html

Webcast: https://bluejeans.com/469517570

Location: Henry Salvatori Computer Science Center (SAL) - 101

WebCast Link: https://bluejeans.com/469517570

Audiences: Everyone Is Invited

Contact: Assistant to CS chair

Event Link: http://www-bcf.usc.edu/~liu32/mlseminar.html