Pitassi, Toniann

Fairness through awareness

Dwork, C., Hardt, M., Pitassi, T., Reingold, O., & Zemel, R. (2012) · Proceedings of the 3rd Innovations in Theoretical Computer Science Conference

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 3,501

The reusable holdout: Preserving validity in adaptive data analysis

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015) · Science

Privacy-Preserving Technologies in DataStatistical Methods and Inference

Cited by 307

Generalization in Adaptive Data Analysis and Holdout Reuse

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015) · arXiv

Privacy-Preserving Technologies in DataStatistical Methods and Inference

Cited by 152

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

Madras, D., Pitassi, T., & Zemel, R. (2017) · arXiv

Ethics and Social Impacts of AIMachine Learning and Algorithms

Cited by 90

Fairness Through Awareness

Dwork, C., Hardt, M., Pitassi, T., Reingold, O., & Zemel, R. (2011) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 55

Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions

Snell, J. C., Zollo, T. P., Deng, Z., Pitassi, T., & Zemel, R. (2022) · arXiv

Machine Learning and Data ClassificationRisk and Portfolio Optimization

Cited by 2