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14 Program Highlights »
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Tutorial
Mon Dec 9th 08:30 -- 10:30 AM @ West Hall C + B3
Imitation Learning and its Application to Natural Language Generation
Kyunghyun Cho · Hal Daume III
Tutorial
Mon Dec 9th 08:30 -- 10:30 AM @ West Ballroom A+B
Human Behavior Modeling with Machine Learning: Opportunities and Challenges
Nuria M Oliver · Albert Ali Salah
Tutorial
Mon Dec 9th 08:30 -- 10:30 AM @ West Hall A
Deep Learning with Bayesian Principles
Mohammad Emtiyaz Khan
Break
Mon Dec 9th 10:30 -- 11:15 AM @ None
Coffee Break
Tutorial
Mon Dec 9th 11:15 AM -- 01:15 PM @ West Hall C + B3
Efficient Processing of Deep Neural Network: from Algorithms to Hardware Architectures
Vivienne Sze
Tutorial
Mon Dec 9th 11:15 AM -- 01:15 PM @ West Hall A
Interpretable Comparison of Distributions and Models
Wittawat Jitkrittum · Dougal J Sutherland · Arthur Gretton
Tutorial
Mon Dec 9th 11:15 AM -- 01:15 PM @ West Ballroom A+B
Machine Learning for Computational Biology and Health
Anna Goldenberg · Barbara Engelhardt
Break
Mon Dec 9th 01:15 -- 02:45 PM @ None
Lunch Break on Your Own
Tutorial
Mon Dec 9th 02:45 -- 04:45 PM @ West Hall C + B3
Reinforcement Learning: Past, Present, and Future Perspectives
Katja Hofmann
Tutorial
Mon Dec 9th 02:45 -- 04:45 PM @ West Ballroom A+B
Synthetic Control
Alberto Abadie · Vishal Misra · Devavrat Shah
Tutorial
Mon Dec 9th 02:45 -- 04:45 PM @ West Hall A
Representation Learning and Fairness
Moustapha Cisse · Sanmi Koyejo
Break
Mon Dec 9th 04:45 -- 05:00 PM @ None
Break
Break
Mon Dec 9th 05:00 -- 05:45 PM @ West Hall C + B3
Opening Remarks
Break
Mon Dec 9th 06:35 -- 08:30 PM @ East Exhibition A, Ballrooms B C
Opening Reception