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(11 events)   Timezone:  
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Tutorial
Mon Jun 10 09:15 AM -- 11:30 AM (PDT) @ Room 104
Safe Machine Learning
In Tutorials Room 104
Silvia Chiappa · Jan Leike
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 09:15 AM -- 11:30 AM (PDT) @ Hall A
Recent Advances in Population-Based Search for Deep Neural Networks: Quality Diversity, Indirect Encodings, and Open-Ended Algorithms
In Tutorials Hall A
Jeff Clune · Joel Lehman · Kenneth Stanley
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 09:15 AM -- 11:30 AM (PDT) @ Grand Ballroom
A Primer on PAC-Bayesian Learning
In Tutorials Grand Ballroom
Benjamin Guedj · John Shawe-Taylor
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 09:15 AM -- 11:30 AM (PDT) @ Hall B
Never-Ending Learning
In Tutorials Hall B
Tom Mitchell · Partha Talukdar
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 01:00 PM -- 03:15 PM (PDT) @ Hall B
Active Learning: From Theory to Practice
In Tutorials Hall B
Robert Nowak · Steve Hanneke
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 01:00 PM -- 03:15 PM (PDT) @ Hall A
Meta-Learning: from Few-Shot Learning to Rapid Reinforcement Learning
In Tutorials Hall A
Chelsea Finn · Sergey Levine
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 01:00 PM -- 03:15 PM (PDT) @ Grand Ballroom
Neural Approaches to Conversational AI
In Tutorials Grand Ballroom
Michel Galley · Jianfeng Gao
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 03:45 PM -- 06:00 PM (PDT) @ Room 104
Causal Inference and Stable Learning
In Tutorials Room 104
Tong Zhang · Peng Cui
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 03:45 PM -- 06:00 PM (PDT) @ Grand Ballroom
Algorithm configuration: learning in the space of algorithm designs
In Tutorials Grand Ballroom
Kevin Leyton-Brown · Frank Hutter
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 03:45 PM -- 06:00 PM (PDT) @ Hall A
A Tutorial on Attention in Deep Learning
In Tutorials Hall A
Alex Smola · Aston Zhang
[ Slides]  [ Video] 
Tutorial
Mon Jun 10 03:45 PM -- 06:00 PM (PDT) @ Hall B
Active Hypothesis Testing: An Information Theoretic (re)View
In Tutorials Hall B
Tara Javidi
[ Video]