Kyle Taylor on Nostr: Making the rounds again... I like the promise of making any ML algorithm ...
Making the rounds again... I like the promise of making any ML algorithm probabilistic.
...Blackbox #MachineLearning models are now routinely used in high-risk settings, like medical diagnostics, which demand uncertainty quantification to avoid consequential model failures... #ConformalPrediction is a user-friendly paradigm for creating statistically rigorous uncertainty sets/intervals for the predictions of such models...
[1] https://arxiv.org/abs/2107.07511
[2] https://arxiv.org/abs/2106.06137
...Blackbox #MachineLearning models are now routinely used in high-risk settings, like medical diagnostics, which demand uncertainty quantification to avoid consequential model failures... #ConformalPrediction is a user-friendly paradigm for creating statistically rigorous uncertainty sets/intervals for the predictions of such models...
[1] https://arxiv.org/abs/2107.07511
[2] https://arxiv.org/abs/2106.06137