Full Program

Arrival: July 18, 2018

8:00 - 9:00
Breakfast

9:00 - 9:50
Deep Learning and AI
Yoshua Bengio

9:50 - 10:40
Unsupervised Machine Translation - Part I
Marc’Aurelio Ranzato

10:40 - 11:10
Coffee Break

11:10 - 12:50
Oral Presentations 1

12:50 - 14:30
Lunch

14:30 - 15:20
Deep Learning, Recurrent Nets and Attention for System 2 Processing
Yoshua Bengio

15:20 - 16:10
Unsupervised Machine Translation - Part II
Marc’Aurelio Ranzato

16:10 - 16:40
Coffee Break

16:40 - 19:20
Oral Presentations 2

19:30 - 21:00
Group Photo & Dinner

8:00 - 9:00
Breakfast

9:00 - 9:50
Machine Learning for Education and Education for Machine Learning
Peter Norvig

9:50 - 10:40
The Principle of Least Cognitive Action: The Case of Visual Features
Marco Gori

10:40 - 11:10
Coffee Break

11:10 - 12:50
Oral Presentations 3

12:50 - 14:30
Lunch

14:30 - 15:20
Software Engineering for Machine Learning and Machine Learning for Software Engineering
Peter Norvig

15:20 - 16:10
Learning with Constraints
Marco Gori

16:10 - 16:40
Coffee Break

16:40 - 19:20
Oral Presentations 4

19:30 - 21:00
Dinner

8:00 - 9:00
Breakfast

9:00 - 9:50
Machine Learning for Medical Science
Yi-Ke Guo

9:50 - 10:40
Network-based Data Analysis
Sergiy Butenko

10:40 - 11:10
Coffee Break

11:10 - 12:50
Oral Presentations 5

12:50 - 14:30
Lunch

14:30 - 15:20
Data Assimilation with Machine Learning
Yi-Ke Guo

15:20 - 16:10
Cluster-detection Methods in Network-based Data Analysis
Sergiy Butenko

16:10 - 16:40
Coffee Break

16:40 - 19:20
Oral Presentations 6

19:30 - 21:00
Dinner

8:00 - 9:00
Breakfast

9:00 - 9:50
Networks: History, The Present, and Future Challenges
Panos Pardalos

9:50 - 10:40
Maximum Entropy and Information Constraints in Large Networks and Power-law Graphs
Roman Belavkin

10:40 - 11:10
Coffee Break

11:10 - 12:50
Oral Presentations 7

12:50 - 14:30
Lunch

14:30 - 15:20
On the Limits of Computation in Non-convex Optimization
Panos Pardalos

15:20 - 16:10
Value of Information and Geometry of Optimal Decision-making and Learning
Roman Belavkin

16:10 - 16:40
Coffee Break

16:40 - 19:20
Poster Session

19:30 - 21:00
Dinner

8:00 - 9:00
Breakfast

9:00 - 9:50
Social Physics: Learning and Predicting Human Behavior
Alex ‘Sandy’ Pentland

9:50 - 10:40
Choice Models in Data Analysis and their Applications - Part I
Fuad Aleskerov

10:40 - 11:10
Coffee Break

11:10 - 12:00
Privacy-Preserving and Distributed Machine Learning
Alex ‘Sandy’ Pentland

12:00 - 12:50
Choice Models in Data Analysis and their Applications - Part II
Fuad Aleskerov

12:50 - 14:30
Lunch

14:30 - 21:00
Social Tour & Social Dinner

Departure: July 24, 2018

download program (PDF version)