nl-uiuc AT lists.cs.illinois.edu
Subject: Natural language research announcements
List archive
- From: Alice Lai <aylai2 AT illinois.edu>
- To: <nl-uiuc AT cs.uiuc.edu>, “vision AT cs.uiuc.edu” <vision AT cs.uiuc.edu>, “aiis AT cs.uiuc.edu” <aiis AT cs.uiuc.edu>, “rhc AT illinois.edu” <rhc AT illinois.edu>, “tbretl AT illinois.edu” <tbretl AT illinois.edu>, “kiyavash AT illinois.edu” <kiyavash AT illinois.edu>, “maxim AT illinois.edu” <maxim AT illinois.edu>
- Subject: [[nl-uiuc] ] Reminder: AIIS: Brian Ziebart - Today @ 2pm
- Date: Wed, 30 Sep 2015 16:31:06 +0000
When: Wednesday Sept 30 @ 2pm
Where: 3401 SC
Speaker: Brian Ziebart - University of Illinois at Chicago
Title: Supervised Machine Learning as an Adversarial Game
Abstract:
The standard approach to supervised machine learning is to choose the form of a predictor and optimize its parameters based on training data. Approximations of the predictor's performance measure are often required to make the optimization problem tractable. Instead of approximating the performance measure and using the exact training data, this talk introduces a supervised machine learning framework that adversarially approximates the training data and uses the exact performance measure. This formulation provides flexibility for addressing sample selection bias, the fundamental problem hindering advances in active learning, and for inductively optimizing multivariate performance measures like the F-measure and the discounted cumulative gain from information retrieval and ranking tasks.
Bio:
Brian Ziebart is an Assistant Professor in the Department of Computer Science at UIC and an alum of UIUC (BS), where he conducted research under the supervision of Prof. Roy Campbell and Prof. Dan Roth. He received his PhD from Carnegie Mellon University where he was also a postdoctoral fellow. His research interests include machine learning, decision theory, game theory, robotics, and assistive technologies.
- [[nl-uiuc] ] Reminder: AIIS: Brian Ziebart - Today @ 2pm, Alice Lai, 09/30/2015
Archive powered by MHonArc 2.6.16.