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A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization.
Tyler Sypherd
Mario Díaz
John Kevin Cava
Gautam Dasarathy
Peter Kairouz
Lalitha Sankar
Published in:
IEEE Trans. Inf. Theory (2022)
Keyphrases
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loss function
robust classification
support vector
pairwise
learning to rank
empirical risk
subspace methods
boosting framework
risk minimization
boosting algorithms
video sequences
pattern recognition
face detection
benchmark datasets
reproducing kernel hilbert space
convex loss functions