19 citations · 22 across the 7 of their papers we have counts for
4 papers · 1 filter
Questioning the Survey Responses of Large Language Models
Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
Surveys have recently gained popularity as a tool to study large language models. By comparing survey responses of models to those of human reference populations, researchers aim t…
Collaborative Learning via Prediction Consensus
Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
We consider a collaborative learning setting where the goal of each agent is to improve their own model by leveraging the expertise of collaborators, in addition to their own train…
Causal Inference out of Control: Estimating the Steerability of Consumption
Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
Regulators and academics are increasingly interested in the causal effect that algorithmic actions of a digital platform have on consumption. We introduce a general causal inferenc…
Algorithmic Collective Action in Machine Learning
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner +1
We initiate a principled study of algorithmic collective action on digital platforms that deploy machine learning algorithms. We propose a simple theoretical model of a collective…