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9 Program Highlights »
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Tutorial
Mon Dec 9th 08:30 -- 10:30 AM @ West, Hall A
Deep Learning with Bayesian Principles
Mohammad Emtiyaz Khan
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 11:15 AM -- 01:15 PM @ West, Ballroom A+B
Machine Learning for Computational Biology and Health
Anna Goldenberg · Barbara Engelhardt
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 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, Hall A
Representation Learning and Fairness
Moustapha Cisse · Sanmi Koyejo
Tutorial
Mon Dec 9th 02:45 -- 04:45 PM @ West, Ballroom A+B
Human Behavior Modeling with Machine Learning: Opportunities and Challenges
nuria m oliver · Albert Ali Salah
Tutorial
Mon Dec 9th 02:45 -- 04:45 PM @ None
Synthetic Control
Alberto Abadie · Vishal Misra · Devavrat Shah