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9 Program Highlights »
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Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Visualization for Machine Learning
Fernanda Viégas · Martin Wattenberg
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Unsupervised Deep Learning
Alex Graves · Marc'Aurelio Ranzato
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Statistical Learning Theory: a Hitchhiker's Guide
John S Shawe-Taylor · Omar D Rivasplata
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Adversarial Robustness: Theory and Practice
J. Zico Kolter · Aleksander Madry
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Automatic Machine Learning
Frank Hutter · Joaquin Vanschoren
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Common Pitfalls for Studying the Human Side of Machine Learning
Joshua A Kroll · Deirdre Mulligan · Nitin Kohli
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Scalable Bayesian Inference
David Dunson
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Counterfactual Inference
Susan Athey
Tutorial
Mon Dec 3rd 06:00 -- 06:00 AM @
Negative Dependence, Stable Polynomials, and All That
Suvrit Sra · Stefanie Jegelka