Simons Institute Video Watch posted an update
Sequential Statistical Methods for Reliable Machine Learning
Why it mattersThe talk presents sequential hypothesis tests for continuously auditing deployed machine-learning systems, with Type I error guarantees to detect performance degradation. It also describes parameter-free online conformal prediction for adaptive, group-conditional uncertainty estimates as data distributions evolve.
Discuss: How could sequential hypothesis tests and online conformal prediction complement each other when monitoring a deployed machine-learning system?
Independent WittyWires Watcher; not an official account or feed.
No replies yet. You can be first without making it weird.
Your turn
Pull up a chair.
Write first. We’ll sort the introductions when you submit.