[AI Seminar] Online AI Seminar on April 14 (Zoom) -- Thomas G. Dietterich -- Advances in Anomaly Detection. AI seminar is sponsored by Fortive.

[Aayush Bansal]

Reminder -- this is tomorrow at noon..

NOTE -- we will be using a different Zoom link for this talk than our usual
meetings -- *https://cmu.zoom.us/j/778021232
<https://cmu.zoom.us/j/778021232>*


On Tue, Apr 7, 2020 at 10:39 PM Aayush Bansal <aayushb at cs.cmu.edu> wrote:

> Thomas G. Dietterich (Oregon State University) will be giving an online
> seminar on "Advances in Anomaly Detection" from *12:00 - 01:00 PM* on
> April 14. This is a joint seminar with the Institute of Software Research
> (ISR).
>
> Zoom Link: *https://cmu.zoom.us/j/778021232
> <https://cmu.zoom.us/j/778021232>*
> (NOTE: different zoom link for this talk)
>
> CMU AI Seminar is sponsored by Fortive.
>
> Following are the details of the talk:
>
> *Title: *Advances in Anomaly Detection
>
> *Abstract: *Anomaly detection is important for data cleaning, cyber
> security, and robust AI systems. This talk will review recent work in our
> group on (a) benchmarking existing algorithms, (b) developing a theoretical
> understanding of their behavior, (c) explaining anomaly "alarms" to a data
> analyst, and (d) interactively re-ranking candidate anomalies in response
> to analyst feedback. Then the talk will describe two applications: (a)
> detecting and diagnosing sensor failures in weather networks and (b) open
> category detection in supervised learning.
>
> *Bio*: Dr. Dietterich (AB Oberlin College 1977; MS University of Illinois
> 1979; PhD Stanford University 1984) is Professor Emeritus in the School of
> Electrical Engineering and Computer Science at Oregon State University,
> where he joined the faculty in 1985. Dietterich is one of the pioneers of
> the field of Machine Learning and has authored more than 190 refereed
> publications and two books. His research is motivated by challenging real
> world problems with a special focus on robust artificial intelligence and
> sustainable development. He is best known for his work on ensemble methods
> in machine learning including the development of error-correcting output
> coding. Dietterich has also invented the MAXQ method for hierarchical
> reinforcement learning. He has a long record of service to the AI/ML
> community including President of AAAI, President of the IMLS, and Executive
> Editor of Machine Learning. He currently serves as one of the moderators
> for the arXiv machine learning category. He tweets as @tdietterich.
>
>
> To learn more about the seminar series, please visit the website:
> http://www.cs.cmu.edu/~aiseminar/
>
>
> --
> Aayush Bansal
> http://www.cs.cmu.edu/~aayushb/
>
>

-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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