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Break
Tue Jul 10th 08:45 -- 09:15 AM @ Hall B
Coffee Break
Tutorial
Tue Jul 10th 09:15 -- 11:30 AM @ Victoria
Imitation Learning
Yisong Yue · Hoang M Le
Tutorial
Tue Jul 10th 09:15 -- 11:30 AM @ K1 + K2
Learning with Temporal Point Processes
Manuel Gomez Rodriguez · Isabel Valera
Tutorial
Tue Jul 10th 09:15 -- 11:30 AM @ A9
Machine Learning in Automated Mechanism Design for Pricing and Auctions
Nina Balcan · Tuomas Sandholm · Ellen Vitercik
Break
Tue Jul 10th 11:30 AM -- 01:00 PM @
Lunch - on your own
Tutorial
Tue Jul 10th 01:00 -- 03:15 PM @ Victoria
Toward Theoretical Understanding of Deep Learning
Sanjeev Arora
Tutorial
Tue Jul 10th 01:00 -- 03:15 PM @ K1 + K2
Defining and Designing Fair Algorithms
Sam Corbett-Davies · Sharad Goel
Tutorial
Tue Jul 10th 01:00 -- 03:15 PM @ A9
Understanding your Neighbors: Practical Perspectives From Modern Analysis
Sanjoy Dasgupta · Samory Kpotufe
Break
Tue Jul 10th 03:15 -- 03:45 PM @ Hall B
Coffee Break
Tutorial
Tue Jul 10th 03:45 -- 06:00 PM @ Victoria
Variational Bayes and Beyond: Bayesian Inference for Big Data
Tamara Broderick
Tutorial
Tue Jul 10th 03:45 -- 06:00 PM @ K1 + K2
Machine Learning for Personalised Health
Danielle Belgrave · Konstantina Palla · LAMIAE Azizi
Tutorial
Tue Jul 10th 03:45 -- 06:00 PM @ A9
Optimization Perspectives on Learning to Control
Benjamin Recht
Break
Tue Jul 10th 06:00 -- 07:15 PM @ Hall B
Opening Reception