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stat.ML2026
Retraining Seeks Stable Signals
Moritz Hardt
Predictive models deployed at scale influence future data, a phenomenon called performativity. And there is always one way to cope: Train the model on new data, deploy it again, an…
cs.LG2026
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
Florian E. Dorner, Moritz Hardt
We study how to best spend a budget of noisy labels to compare the accuracy of two binary classifiers. It's common practice to collect and aggregate multiple noisy labels for a giv…
cs.CL2026★ 1 cited
Limits to Predicting Online Speech Using Large Language Models
Mina Remeli, Moritz Hardt, Robert C. Williamson
Our paper studies the predictability of online speech -- that is, how well language models learn to model the distribution of user generated content on X (previously Twitter). We d…