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4 changes: 2 additions & 2 deletions src/dpmm/models/mst.py
Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@ class MST(Mechanism):
Maximum Spanning Tree (MST) mechanism is a differentially private generative model relying
on selecting an optimal set of marginals to approximate the joint distribution of the data.
It uses the exponential mechanism to select higher-order marginals based on their weights.
The marginals are measured using the Laplace mechanism.
The marginals are measured using the Gaussian mechanism.
The measured marginals are then used to estimate a maximum spanning tree which will be able to generate data.

Ref: https://arxiv.org/pdf/2108.04978
Expand Down Expand Up @@ -308,7 +308,7 @@ class MSTGM(GraphicalGenerativeModel):
Maximum Spanning Tree (MST) mechanism is a differentially private generative model relying
on selecting an optimal set of marginals to approximate the joint distribution of the data.
It uses the exponential mechanism to select higher-order marginals based on their weights.
The marginals are measured using the Laplace mechanism.
The marginals are measured using the Gaussian mechanism.
The measured marginals are then used to estimate a maximum spanning tree which will be able to generate data.

Ref: https://arxiv.org/pdf/2108.04978
Expand Down
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