Skip to Content.
Sympa Menu

nl-uiuc - [nl-uiuc] Reminder: AIIS talk by Prof. Brian Ziebart at 2 pm

nl-uiuc AT lists.cs.illinois.edu

Subject: Natural language research announcements

List archive

[nl-uiuc] Reminder: AIIS talk by Prof. Brian Ziebart at 2 pm


Chronological Thread 
  • From: "Samdani, Rajhans" <rsamdan2 AT illinois.edu>
  • To: "aiis AT cs.uiuc.edu" <aiis AT cs.uiuc.edu>, "aivr AT cs.uiuc.edu" <aivr AT cs.uiuc.edu>, "vision AT cs.uiuc.edu" <vision AT cs.uiuc.edu>, "eyal AT cs.uiuc.edu" <eyal AT cs.uiuc.edu>, "aistudents AT cs.uiuc.edu" <aistudents AT cs.uiuc.edu>, "Girju, Corina R" <girju AT illinois.edu>, "Blake, Catherine" <clblake AT illinois.edu>, nl-uiuc <nl-uiuc AT cs.uiuc.edu>, "Efron, Miles James" <mefron AT illinois.edu>
  • Subject: [nl-uiuc] Reminder: AIIS talk by Prof. Brian Ziebart at 2 pm
  • Date: Fri, 15 Feb 2013 18:03:57 +0000
  • Accept-language: en-US
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/nl-uiuc/>
  • List-id: Natural language research announcements <nl-uiuc.cs.uiuc.edu>

Hi all.

This is a gentle reminder of today's talk at 2 pm

Talk details:
When: Friday, Feb 15, 2 pm.

Where: Siebel Center, 3405.

Title: Beyond Conditionals: Structured Prediction for Interacting Processes

Abstract:
The principle of maximum entropy provides a powerful framework for estimating
joint, conditional, and marginal probability distributions. Markov random
fields and conditional random fields can be viewed as the maximum entropy
approach in action. However, beyond joint and conditional distributions,
there are many other important distributions with elements of interaction and
feedback where its applicability has not been established. In this talk, I
will present the principle of maximum causal entropy—an approach based on
directed information theory for estimating an unknown process based on its
interactions with a known process.


Bio: Brian Ziebart is an Assistant Professor in the Department of Computer
Science at the University of Illinois at Chicago. He received his PhD in
Machine Learning from Carnegie Mellon University in 2010, where he was also a
postdoctoral fellow. He also holds a B.S. in Computer Engineering (highest
honors) from the University of Illinois, Urbana-Champaign. His research
interests include machine learning, decision theory, game theory, robotics,
and assistive technologies.

Best,
Rajhans




  • [nl-uiuc] Reminder: AIIS talk by Prof. Brian Ziebart at 2 pm, Samdani, Rajhans, 02/15/2013

Archive powered by MHonArc 2.6.16.

Top of Page