The softmax-margin approach offers (1) a convex objective, (2) the ability to incorporate task-specific cost functions, and (3) a probabilistic interpretation (which supports, e.g., hidden-variable learning and computation of posteriors).
max-margin training and MIRA do not provide (3); risk and JRB do not provide (1); and CLL does not support (2).