The 2017 Machine Learning Conference in New York City is scheduled for March 24th, 2017 at 230 5th Avenue. Located in the heart of picturesque Mid-Town NYC, this venue boasts a large meeting space with natural light, views of the city and with several screens– you won’t miss a single slide of your favorite ML presentations.

Conference Schedule

8:00-9:00

Registration

9:00-9:40

Harnessing Neural Networks

Corinna Cortes
9:40-10:05

Dynamic Deep Learning: a paradigm shift in AI research and tools

Soumith Chintala
10:05-10:30

Fault-Tolerable Deep Learning on General-Purpose Clusters

Yi Wang
10:30-10:50

Narrated Reality

Ross Goodwin
10:50-11:05

Coffee Break

11:05-11:30

Common Problems In Hyperparameter Optimization

Alexandra Johnson
11:30-11:50

The Future of Kaggle: Where We Came From and Where We're Going

Ben Hamner
11:50-12:15

Nearest Neighbor Methods And Vector Models

Erik Bernhardsson
12:15-12:35

Surveillance Platforms for Bank Compliance

Mayur Thakur
12:30-2:05

Lunch

1:00-1:25

Lunch Talk

Jeff Bradshaw
1:30-1:55

Lunch Talk

Yuri M. Brovman
2:05-2:35

Learning About the Brain and Brain Inspired Learning

Irina Rish
2:35-3:00

Deep Reinforcement Learning

Ben Lau
3:00-3:30

Predictability and Other Predicaments

Claudia Perlich
3:30-3:50

Coffee Break

3:50-4:15

Teaching AI To Make Decisions and Communicate

Layla El Asri
4:15-4:40

Machine Learning Heresy and the Church of Optimality

Evan Estola
4:40-5:05

Differential Privacy

Aaron Roth
5:05-5:30

Bayesian Bandits

Byron Galbraith

The following sponsors made this event possible