Portrait on green background, header for New England Machine Learning Day event page
May 10, 2019

New England Machine Learning Day 2019

Location: Boston, Massachusetts, USA

Venue: Northeastern University
Interdisciplinary Science & Engineering Complex, ISEC
805 Columbus Ave, Boston, MA 02120

Sponsor: Microsoft Research

Registration is currently closed, but we have additional spots for poster presenters, so please do submit even if you have not yet registered!

Are you looking for NEML 2020?

The eighth annual New England Machine Learning Day will take place on May 10, 2019, at Northeastern University. The event will bring together local academics and researchers in Machine Learning, Artificial Intelligence, and their applications. Open registration is currently closed, but we have additional spots for poster presenters, so please do submit even if you have not yet registered!

Schedule

Time Session
9:55 – 10:00
Opening remarks
10:00 – 10:30
Caroline Uhler, MIT
Autoencoders: From Data Integration to Memorization
10:30 – 11:00
Issa Dahabreh, Brown
Transporting inferences from an experiment to a new population when the covariates are high-dimensional
11:00 – 11:30 Posters
11:30 – 12:45 Lunch (and more posters)
12:45 – 1:45 Panel: ML and Industry — the good, the bad and the ugly:

1:50 – 2:20 Nicole Immorlica, Microsoft Research
The Impact of Signaling on Fair Outcomes in Strategic Classification
2:20 – 2:50 Flavio du Pin Calmon, Harvard
On representations and fairness: a few information-theoretic tools for machine learning
2:50 – 3:20 Coffee
3:20 – 3:50 Jan-Willem van de Meent, Northeastern
Integrating Deep Learning and Probabilistic Programming
3:50 – 4:20 Ellie Pavlick, Brown
What should constitute natural language “understanding”?
4:20 – 4:50 Francesco Orabona, Boston University
Coin Betting for Backprop without Learning Rates and More

Organizing committee

Poster chairs

To submit a poster, please send a title, list of authors and affiliations, and abstract (up to 300 words) to nemlposter2019@gmail.com by April 26.

Steering committee

  • Carla Brodley, Northeastern
  • Adam Tauman Kalai, Microsoft Research
  • Joshua Tenenbaum, MIT
  • Alexander Rush, Harvard

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