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Tutorial
Mon Jul 13 01:00 AM -- 04:00 AM & Mon Jul 13 11:00 AM -- 02:00 PM (PDT)
Representation Learning Without Labels
S. M. Ali Eslami · Irina Higgins · Danilo J. Rezende
Tutorial
Mon Jul 13 01:00 AM -- 04:00 AM & Mon Jul 13 11:00 AM -- 02:00 PM (PDT)
Machine Learning with Signal Processing
Arno Solin
Tutorial
Mon Jul 13 01:00 AM -- 04:00 AM & Mon Jul 13 11:00 AM -- 02:00 PM (PDT)
Machine Learning for Healthcare: Challenges, Methods, Frontiers
Mihaela van der Schaar
Tutorial
Mon Jul 13 05:00 AM -- 08:00 AM & Mon Jul 13 03:00 PM -- 06:00 PM (PDT)
Epidemiology and Machine Learning
Elaine Nsoesie
Tutorial
Mon Jul 13 05:00 AM -- 08:00 AM & Mon Jul 13 03:00 PM -- 06:00 PM (PDT)
Parameter-free Online Optimization
Francesco Orabona · Ashok Cutkosky
Tutorial
Mon Jul 13 05:00 AM -- 08:00 AM & Mon Jul 13 03:00 PM -- 06:00 PM (PDT)
Recent Advances in High-Dimensional Robust Statistics
Ilias Diakonikolas
Tutorial
Mon Jul 13 05:00 AM -- 08:00 AM & Mon Jul 13 03:00 PM -- 06:00 PM (PDT)
Causal Reinforcement Learning
Elias Bareinboim
Tutorial
Mon Jul 13 08:00 AM -- 11:00 AM & Mon Jul 13 06:00 PM -- 09:00 PM (PDT)
Model-Based Methods in Reinforcement Learning
Igor Mordatch · Jessica Hamrick
Tutorial
Mon Jul 13 08:00 AM -- 11:00 AM & Mon Jul 13 06:00 PM -- 09:00 PM (PDT)
Submodular Optimization: From Discrete to Continuous and Back
Hamed Hassani · Amin Karbasi
Tutorial
Mon Jul 13 08:00 AM -- 11:00 AM & Mon Jul 13 06:00 PM -- 09:00 PM (PDT) @ Virtual
Bayesian Deep Learning and a Probabilistic Perspective of Model Construction
Andrew Wilson