Apart from modeling the time to event, in the presence of competing risks, it is also important to model the event type, or under which risk the event is likely to occur first. Though one can censor subjects with an occurrence of the event under a competing risk other than the risk of special interest, so that every survival model that can handle censoring is able to model competing risks, it is problematic to violate the principle of non-informative censoring [18, 19].

D 2 N, define [ D ]: = { 1,...,D } . The symbol & indicates greater than up to a universal constant.

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/

Fine-Grained Visual Classification (FGVC) is an important computer vision problem that involves small diversity within the different classes, and often requires expert annotators to collect data.

Finally, we empirically demonstrate the effectiveness of our approach on several instances.

Rich experimental evidences show that one can better estimate users' unknown ratings with the aid of graph side information such as social graphs. However, the gain is not theoretically quantified.

Neural Information Processing Systems http://nips.cc/

Optimization is an integral part of most machine learning systems and most numerical optimization schemes rely on the computation of derivatives.