Raghavan, Manish

17 publications

ICML 2025 Double Machine Learning for Causal Inference Under Shared-State Interference Chris Hays, Manish Raghavan

NeurIPS 2025 Evaluating Multiple Models Using Labeled and Unlabeled Data Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson

NeurIPS 2025 Homogeneous Algorithms Can Reduce Competition in Personalized Pricing Nathanael Jo, Ashia C. Wilson, Kathleen Creel, Manish Raghavan

ICLRW 2025 Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models Vinith Menon Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson

NeurIPSW 2024 Fundamental Limits in the Search for Less Discriminatory Algorithms—and How to Avoid Them Benjamin Laufer, Manish Raghavan, Solon Barocas

NeurIPSW 2024 Homogeneous Algorithms Can Reduce Competition in Personalized Pricing Nathanael Jo, Kathleen Creel, Ashia C. Wilson, Manish Raghavan

NeurIPS 2024 Human Expertise in Algorithmic Prediction Rohan Alur, Manish Raghavan, Devavrat Shah

ICLRW 2024 Multi-Model Evaluation with Labeled & Unlabeled Data Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson

NeurIPS 2023 Auditing for Human Expertise Rohan Alur, Loren Laine, Darrick Li, Manish Raghavan, Devavrat Shah, Dennis Shung

ICMLW 2023 Auditing for Human Expertise Rohan Alur, Loren Laine, Darrick Li, Manish Raghavan, Devavrat Shah, Dennis Shung

NeurIPSW 2023 Limitations of the “Four-Fifths Rule” and Statistical Parity Tests for Measuring Fairness Manish Raghavan, Pauline Kim

NeurIPSW 2023 Outliers Exist: What Happens if You Are a Data-Driven Exception? Sarah Cen, Manish Raghavan

UAI 2021 Stochastic Model for Sunk Cost Bias Jon Kleinberg, Sigal Oren, Manish Raghavan, Nadav Sklar

AAAI 2020 Designing Evaluation Rules That Are Robust to Strategic Behavior Jon M. Kleinberg, Manish Raghavan

ICML 2019 Hiring Under Uncertainty Manish Purohit, Sreenivas Gollapudi, Manish Raghavan

COLT 2018 The Externalities of Exploration and How Data Diversity Helps Exploitation Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu

NeurIPS 2017 On Fairness and Calibration Geoff Pleiss, Manish Raghavan, Felix Wu, Jon Kleinberg, Kilian Q. Weinberger