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Poster
Tue 9:00 Satisfying Real-world Goals with Dataset Constraints
Gabriel Goh · Andrew Cotter · Maya Gupta · Michael P Friedlander
Poster
Mon 9:00 An urn model for majority voting in classification ensembles
Victor Soto · Alberto Suárez · Gonzalo Martinez-Muñoz
Poster
Mon 9:00 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain
Yunhe Wang · Chang Xu · Shan You · Dacheng Tao · Chao Xu
Poster
Mon 9:00 Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi · Seyed-Mohsen Moosavi-Dezfooli · Pascal Frossard
Poster
Mon 9:00 Learning Kernels with Random Features
Aman Sinha · John Duchi
Poster
Mon 9:00 The Limits of Learning with Missing Data
Brian Bullins · Elad Hazan · Tomer Koren
Poster
Mon 9:00 Boosting with Abstention
Corinna Cortes · Giulia DeSalvo · Mehryar Mohri
Poster
Mon 9:00 Equality of Opportunity in Supervised Learning
Moritz Hardt · Eric Price · Eric Price · Nati Srebro
Poster
Mon 9:00 k*-Nearest Neighbors: From Global to Local
Oren Anava · Kfir Y. Levy