Row 66626
Content Data
This page contains data entry 66626 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I am not sure if there is a formal way to prove it. You can probably come up with contrived examples where the predictive has lower entropy for the inclusive KL minimizer. But in general, we do observe the inclusive KL to have higher predictive uncertainty. There are pros and cos though.
Also MSC is not very stable. There are some follow up works that make it stable with experiments on BNNs, but none of these scale to larger datasets.
| Field | Value |
|---|---|
| text | I am not sure if there is a formal way to prove it. You can probably come up with contrived examples where the predictive has lower entropy for the inclusive KL minimizer. But in general, we do observe the inclusive KL to have higher predictive uncertainty. There are pros and cos though. Also MSC is not very stable. There are some follow up works that make it stable with experiments on BNNs, but none of these scale to larger datasets. |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-23 |
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Raw Record
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"text": "I am not sure if there is a formal way to prove it. You can probably come up with contrived examples where the predictive has lower entropy for the inclusive KL minimizer. But in general, we do observe the inclusive KL to have higher predictive uncertainty. There are pros and cos though.\n\nAlso MSC is not very stable. There are some follow up works that make it stable with experiments on BNNs, but none of these scale to larger datasets.",
"label": "r/machinelearning",
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"datetime": "2024-05-23",
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Entry Information
- Entry ID: 66626
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000