Relaxed Clipping: A Global Training Method for Robust Regression and Classification

NeurIPS 2010 Min YangLinli XuMartha WhiteDale SchuurmansYao-Liang Yu

Robust regression and classification are often thought to require non-convex loss functions that prevent scalable, global training. However, such a view neglects the possibility of reformulated training methods that can yield practically solvable alternatives... (read more)

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