We consider local kernel metric learning for off-policy evaluation (OPE)...
A reliable evaluation method is essential for building a robust
out-of-d...
Likelihood is a standard estimate for outlier detection. The specific ro...
The tt̅H(bb̅) process is an
essential channel to reveal the Higgs proper...
Minimax optimization plays a key role in adversarial training of machine...
A general approach to L_2-consistent estimation of various density
funct...
Estimation of density derivatives is a versatile tool in statistical dat...
Metrics specifying distances between data points can be learned in a
dis...