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!
9:55 – 10:00
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
- Lucas Janson, Harvard
- Aleksander Mądry, MIT
- Asu Ozdaglar, MIT
- Byron Wallace, Northeastern (chair)
- Lu Wang, Northeastern
To submit a poster, please send a title, list of authors and affiliations, and abstract (up to 300 words) to firstname.lastname@example.org by April 26.
- Carla Brodley, Northeastern
- Adam Tauman Kalai, Microsoft Research
- Joshua Tenenbaum, MIT
- Alexander Rush, Harvard