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Social Foundations of Computation Algorithms and Society Conference Paper Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Baumann, J., Mendler-Dünner, C. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) arXiv URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper An Engine Not a Camera: Measuring Performative Power of Online Search Mendler-Dünner, C., Carovano, G., Hardt, M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) ArXiv URL BibTeX
Social Foundations of Computation Conference Paper Do Causal Predictors Generalize Better to New Domains? Nastl, V. Y., Hardt, M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight Poster, December 2024 (Published) ArXiv URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Evaluating Language Models as Risk Scores Cruz, A. F., Hardt, M., Mendler-Dünner, C. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) ArXiv Code URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Questioning the Survey Responses of Large Language Models Dominguez-Olmedo, R., Hardt, M., Mendler-Dünner, C. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Oral, December 2024 (Published) ArXiv URL BibTeX
Social Foundations of Computation Conference Paper The Fairness-Quality Trade-off in Clustering Hakim, R., Stoica, A., Papadimitriou, C. H., Yannakakis, M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) arXiv URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Decline Now: A Combinatorial Model for Algorithmic Collective Action Sigg, D., Hardt, M., Mendler-Dünner, C. CHI Conference on Human Factors in Computing Systems, October 2024, Accepted (Accepted) arXiv BibTeX
Social Foundations of Computation Conference Paper Fairness in Social Influence Maximization via Optimal Transport Chowdhary, S., De Pasquale, G., Lanzetti, N., Stoica, A., Dorfler, F. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), September 2024 (Published) ArXiv URL BibTeX
Social Foundations of Computation Conference Paper Allocation Requires Prediction Only if Inequality Is Low Shirali, A., Abebe, R., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024, *equal contribution (Published) ArXiv URL BibTeX
Social Foundations of Computation Conference Paper Causal Inference from Competing Treatments Stoica, A., Nastl, V. Y., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024 (Published) ArXiv URL BibTeX
Social Foundations of Computation Conference Paper Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget Dorner, F. E., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024 (Published) ArXiv URL BibTeX
Social Foundations of Computation Conference Paper Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks Zhang, G., Hardt, M. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), July 2024 (Published) ArXiv Code URL BibTeX
Social Foundations of Computation Conference Paper Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks Stoica, A., Litvak, N., Chaintreau, A. In Proceedings of the Association for Computing Machinery (ACM) Web Conference 2024, ACM, The 2024 ACM Web Conference, May 2024 (Published) ArXiv URL BibTeX
Social Foundations of Computation Conference Paper Test-Time Training on Nearest Neighbors for Large Language Models Hardt, M., Sun, Y. In The Twelfth International Conference on Learning Representations (ICLR 2024), May 2024 (Published) ArXiv Code URL BibTeX
Social Foundations of Computation Conference Paper Unprocessing Seven Years of Algorithmic Fairness Cruz, A. F., Hardt, M. In The Twelfth International Conference on Learning Representations (ICLR 2024), May 2024 (Published) ArXiv Code URL BibTeX
Social Foundations of Computation Conference Paper ImageNot: A Contrast with ImageNet Preserves Model Rankings Salaudeen, O., Hardt, M. April 2024, Submitted (Submitted) ArXiv BibTeX
Social Foundations of Computation Article Integration of Generative AI in the Digital Markets Act: Contestability and Fairness from a Cross-Disciplinary Perspective Yasar, A. G., Chong, A., Dong, E., Gilbert, T., Hladikova, S., Mougan, C., Shen, X., Singh, S., Stoica, A., Thais, S. Workshop on Generative AI + Law (GenLaw) , LSE Legal Studies Working Paper, The Fortieth International Conference on Machine Learning (ICML) 2023 , March 2024 (Published) URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Causal Inference out of Control: Estimating Performativity without Treatment Randomization Cheng, G., Hardt, M., Mendler-Dünner, C. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR, The Forty-First International Conference on Machine Learning (ICML), January 2024 (Published) ArXiv URL BibTeX