Skip to yearly menu bar Skip to main content


(9 events)   Timezone:  
Toggle Poster Visibility
Tutorial
Mon Dec 04 08:00 AM -- 10:15 AM (PST) @ Hall A
Deep Learning: Practice and Trends
In Tutorials Hall A
Nando de Freitas · Scott Reed · Oriol Vinyals
[ Video] 
Tutorial
Mon Dec 04 08:00 AM -- 10:15 AM (PST) @ Grand Ballroom
A Primer on Optimal Transport
In Tutorials Grand Ballroom
Marco Cuturi · Justin Solomon
[ Keynote]  [ M4V]  [ Video]  [ PDF] 
Tutorial
Mon Dec 04 08:00 AM -- 10:15 AM (PST) @ Hall C
Reinforcement Learning with People
In Tutorials Hall C
Emma Brunskill
[ Video] 
Tutorial
Mon Dec 04 10:45 AM -- 01:00 PM (PST) @ Hall C
Statistical Relational Artificial Intelligence: Logic, Probability and Computation
In Tutorials Hall C
Luc De Raedt · David Poole · Kristian Kersting · Sriraam Natarajan
[ Video] 
Tutorial
Mon Dec 04 10:45 AM -- 01:00 PM (PST) @ Grand Ballroom
Fairness in Machine Learning
In Tutorials Grand Ballroom
Solon Barocas · Moritz Hardt
[ Video]  [ Slides] 
Tutorial
Mon Dec 04 10:45 AM -- 01:00 PM (PST) @ Hall A
Deep Probabilistic Modelling with Gaussian Processes
In Tutorials Hall A
Neil D Lawrence
[ Video] 
Tutorial
Mon Dec 04 02:30 PM -- 04:45 PM (PST) @ Grand Ballroom
Differentially Private Machine Learning: Theory, Algorithms and Applications
In Tutorials Grand Ballroom
Kamalika Chaudhuri · Anand D Sarwate
[ Video]  [ Slides] 
Tutorial
Mon Dec 04 02:30 PM -- 04:45 PM (PST) @ Hall A
Geometric Deep Learning on Graphs and Manifolds
In Tutorials Hall A
Michael Bronstein · Joan Bruna · arthur szlam · Xavier Bresson · Yann LeCun
[ Slides]  [ Video] 
Tutorial
Mon Dec 04 02:30 PM -- 04:45 PM (PST) @ Hall C
Engineering and Reverse-Engineering Intelligence Using Probabilistic Programs, Program Induction, and Deep Learning
In Tutorials Hall C
Josh Tenenbaum · Vikash Mansinghka
[ Video]