1.9k citations · 5.7k across the 70 of their papers we have counts for
76 papers
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…
Decline Now: A Combinatorial Model for Algorithmic Collective Action
Dorothee Sigg, Moritz Hardt, Celestine Mendler-Dünner
Drivers on food delivery platforms often run a loss on low-paying orders. In response, workers on DoorDash started a campaign, #DeclineNow, to purposefully decline orders below a c…
Evaluating language models as risk scores
André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner
Current question-answering benchmarks predominantly focus on accuracy in realizable prediction tasks. Conditioned on a question and answer-key, does the most likely token match the…
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…
Allocation Requires Prediction Only if Inequality Is Low
Ali Shirali, Rediet Abebe, Moritz Hardt
Algorithmic predictions are emerging as a promising solution concept for efficiently allocating societal resources. Fueling their use is an underlying assumption that such systems…
Causal Inference from Competing Treatments
Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt
Many applications of RCTs involve the presence of multiple treatment administrators -- from field experiments to online advertising -- that compete for the subjects' attention. In…