NeurIPS 2019 Schedule

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

Query	Result
Kernel	Current meeting year events with kernel in the abstract, author names, room location, date, or abstract
Deep Learning	Deep or Learning
"Deep Learning"	Deep Learning
@"Boston University"	Search for "Boston University" but only in the Institution and email fields of authors. Prefix a search term with the @ symbol to constrain it to just email and institution.