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Synthetic Regression on Synthetic GP EQ kernel Interpolation
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0.01
KL Divergence (dx=2)
ConvGNP
-0.0028
0.0836
0.17
0.2564
Jun 19, 2023
KL Divergence (dx=2)
KL Divergence (dx=3)
KL Divergence (dx=5)
Updated 4d ago
Evaluation Results
Method
Method
Links
KL Divergence (dx=2)
KL Divergence (dx=3)
KL Divergence (dx=5)
ConvGNP
2023.06
0.01
-
-
RGNP
kernel_type=stationary
2023.06
0.03
0.05
0.11
GNP
2023.06
0.05
0.09
0.19
FullRGNP
kernel_type=isotropic
2023.06
0.08
0.14
0.25
ConvCNP
2023.06
0.22
-
-
RCNP
kernel_type=stationary
2023.06
0.26
0.4
0.45
FullRCNP
kernel_type=isotropic
2023.06
0.26
0.31
0.35
CNP
2023.06
0.33
0.44
0.57
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