New York Area Machine Learning Events

On Sept 21, there is another machine learning meetup where I’ll be speaking. Although the topic is contextual bandits, I think of it as “the future of machine learning”. In particular, it’s all about how to learn in an interactive environment, such as for ad display, trading, news recommendation, etc…

On Sept 24, abstracts for the New York Machine Learning Symposium are due. This is the largest Machine Learning event in the area, so it’s a great way to have a conversation with other people.

On Oct 22, the NY ML Symposium actually happens. This year, we are expanding the spotlights, and trying to have more time for posters. In addition, we have a strong set of invited speakers: David Blei, Sanjoy Dasgupta, Tommi Jaakkola, and Yann LeCun. After the meeting, a late hackNY related event is planned where students and startups can meet.

I’d also like to point out the related CS/Econ symposium as I have interests there as well.

6 Replies to “New York Area Machine Learning Events”

  1. I was wondering about the acceptance rate to the NYAS Machine Learning Symposiums.

  2. Typically quite high, although the room for spotlight presentations is admittedly limited.

  3. I have been going to this event for the last couple years and decided to submit an abstract for the first time this year. But I have not heard back anything. This is the largest machine learning event in NYC area, it would be cool to participate. But anyways, since only a small portion of papers are rejected, would it to be that difficult to provide a brief feedback at least?

    1. Perhaps you mean for rejected papers? The feedback you get at the symposium for any accepted papers would be much superior.

  4. Thank you for the response. What I mean is that I already submitted an abstract in September for the 2010 symposium , but I never heard anything back (no notification of acceptance or rejection). Notification date was supposed to be Oct 7th (yesterday). I assumed it got lost or rejected so I am just trying to find out what happened to my submission.

    1. We’re just slow—it’s not quite out yet. Hopefully later today, possibly tomorrow.

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