|
Poster
|
Tue 9:00
|
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
Davood Hajinezhad · Mingyi Hong · Tuo Zhao · Zhaoran Wang
|
|
|
Workshop
|
Sat 2:30
|
Invited Talk: Scaling Machine Learning Using TensorFlow (Jeff Dean, Google Brain)
Jeff Dean
|
|
|
Workshop
|
Fri 5:40
|
"ReasoNet: Learning to Stop Reading in Machine Comprehension" (Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen)
|
|
|
Workshop
|
Fri 5:15
|
Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning
Octavian Suciu
|
|
|
Workshop
|
Sat 1:00
|
Forecasting using machine learning techniques in energy and agriculture. Danny Silver (Acadia University, CA)
|
|
|
Workshop
|
Fri 0:10
|
The Michigan Data Science Team: A Student Organization for Machine Learning Challenges
Jonathan C Stroud
|
|
|
Workshop
|
Sat 2:00
|
Jeff Dean – TensorFlow: Future Directions for Simplifying Large-Scale Machine Learning
Jeff Dean
|
|
|
Workshop
|
Fri 2:30
|
AnonML: Anonymous Machine Learning Over a Network of Data Holders
|
|
|
Workshop
|
Fri 7:00
|
Sendhil Mullainathan: Misuses of Machine Learning in Health Policy
|
|
|
Workshop
|
Fri 4:45
|
Keynote by Neil Lawrence: Challenges for Delivering Machine Learning in Health
|
|
|
Workshop
|
Fri 8:00
|
What are the challenges to making machine learning reliable in practice?
|
|
|
Workshop
|
Fri 8:00
|
Future Directions in Interpretable Machine Learning
|
|
