Unfortunately, the notion is seriously flawed on two counts [8]. First, it doesn't ensure fairness.

Furthermore, weprovethat, under mild assumptions, a slight variation of WQL enjoys desirable theoretical properties in the tabular setting.

Recent work has shown that a much simpler model, simple graph convolution (SGC) (Wu et al., 2019),iscompetitivewithGCNs incommon graph machine learning benchmarks.

We can only see the exact value realized in a box if we open it and pay the opening cost.

When n is independent ofδ our approach yields an algorithm whose sample complexityconvergesto 2n2 log 1δ asngrows.

Let 1 2 N be theorderedeigenvaluesofcov (f(s)). T ln, wecreate ln = n l where is that l = l .