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Tutorial
Mon 5:00
Machine Learning With Quantum Computers
Maria Schuld · Juan Carrasquilla
Tutorial
Mon 5:05
Can Quantum Computers Help with Machine Learning?
Maria Schuld
Tutorial
Mon 6:30
Using Quantum Computations as Machine Learning Models
Maria Schuld
Tutorial
Mon 13:00
Machine learning in practice: Who is benefiting? Who is being harmed?
Timnit Gebru
Tutorial
Mon 13:00
Machine Learning and Statistics for Climate Science
Karen A McKinnon · Andrew N Poppick
Tutorial
Mon 13:00
Beyond Fairness in Machine Learning
Timnit Gebru · Emily Denton
Tutorial
Mon 17:00
Message Passing In Machine Learning
Wee Sun Lee
Panel
Mon 23:00
The Consequences of Massive Scaling in Machine Learning
Noah Goodman · Melanie Mitchell · Joelle Pineau · Oriol Vinyals · Jared Kaplan
Datasets and Benchmarks
Tue 0:35
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis Northcutt · Anish Athalye · Jonas Mueller
Oral
Tue 1:00
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtarik · Igor Sokolov · Ilyas Fatkhullin
Oral
Tue 1:40
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
Oral
Tue 1:40
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao · Michael Mahoney