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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