Row 67474

Row ID: 67474 | Dataset Entry | Axioma AXP Content Repository

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Frankly speaking, the inclusive KL will eventually [fail](https://arxiv.org/abs/2103.01085) in high dimensions due to mode mismatch. In low dimensions, it could get you better calibration, but often at the cost of accuracy. A weird exception is BNNs. There, the exclusive KL is known to be [bad](https://arxiv.org/abs/2202.11670), but the inclusive KL appears to be [less](https://arxiv.org/abs/2206.06295) pathologic. But again, the problem is that MSC-type methods don't work with minibatching. There are alternatives that do work with minibatching such as alpha divergence minimization, but these were recently [shown](https://arxiv.org/abs/2010.09541) not to work. So there are some interesting questions left open.

FieldValue
text Frankly speaking, the inclusive KL will eventually [fail](https://arxiv.org/abs/2103.01085) in high dimensions due to mode mismatch. In low dimensions, it could get you better calibration, but often at the cost of accuracy. A weird exception is BNNs. There, the exclusive KL is known to be [bad](https://arxiv.org/abs/2202.11670), but the inclusive KL appears to be [less](https://arxiv.org/abs/2206.06295) pathologic. But again, the problem is that MSC-type methods don't work with minibatching. The…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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  "text": "Frankly speaking, the inclusive KL will eventually [fail](https://arxiv.org/abs/2103.01085) in high dimensions due to mode mismatch. In low dimensions, it could get you better calibration, but often at the cost of accuracy. A weird exception is BNNs. There, the exclusive KL is known to be [bad](https://arxiv.org/abs/2202.11670), but the inclusive KL appears to be [less](https://arxiv.org/abs/2206.06295) pathologic. But again, the problem is that MSC-type methods don't work with minibatching. There are alternatives that do work with minibatching such as alpha divergence minimization, but these were recently [shown](https://arxiv.org/abs/2010.09541) not to work. So there are some interesting questions left open.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
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