Hardt, Moritz

58 publications

NeurIPS 2025 How Benchmark Prediction from Fewer Data Misses the Mark Guanhua Zhang, Florian E. Dorner, Moritz Hardt

ICLR 2025 Lawma: The Power of Specialization for Legal Annotation Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore

ICLR 2025 Limits to Scalable Evaluation at the Frontier: LLM as Judge Won’t Beat Twice the Data Florian E. Dorner, Vivian Yvonne Nastl, Moritz Hardt

NeurIPS 2025 Monoculture or Multiplicity: Which Is It? Mila Gorecki, Moritz Hardt

ICLR 2025 Policy Design in Long-Run Welfare Dynamics Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica

ICLR 2025 Training on the Test Task Confounds Evaluation and Emergence Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt

TMLR 2025 What Makes ImageNet Look Unlike LAION Ali Shirali, Moritz Hardt

ICML 2024 Allocation Requires Prediction Only if Inequality Is Low Ali Shirali, Rediet Abebe, Moritz Hardt

NeurIPS 2024 An Engine Not a Camera: Measuring Performative Power of Online Search Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt

ICML 2024 Causal Inference Out of Control: Estimating Performativity Without Treatment Randomization Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

ICML 2024 Causal Inference from Competing Treatments Ana-Andreea Stoica, Vivian Yvonne Nastl, Moritz Hardt

NeurIPS 2024 Do Causal Predictors Generalize Better to New Domains? Vivian Y. Nastl, Moritz Hardt

ICLRW 2024 Don't Label Twice: Quantity Beats Quality When Comparing Binary Classifiers on a Budget Florian E. Dorner, Moritz Hardt

ICML 2024 Don’t Label Twice: Quantity Beats Quality When Comparing Binary Classifiers on a Budget Florian E. Dorner, Moritz Hardt

NeurIPS 2024 Evaluating Language Models as Risk Scores André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner

ICML 2024 Inherent Trade-Offs Between Diversity and Stability in Multi-Task Benchmarks Guanhua Zhang, Moritz Hardt

NeurIPS 2024 Questioning the Survey Responses of Large Language Models Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner

ICLRW 2024 Questioning the Survey Responses of Large Language Models Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner

ICLR 2024 Test-Time Training on Nearest Neighbors for Large Language Models Moritz Hardt, Yu Sun

ICLR 2024 Unprocessing Seven Years of Algorithmic Fairness André Cruz, Moritz Hardt

ICLR 2023 A Theory of Dynamic Benchmarks Ali Shirali, Rediet Abebe, Moritz Hardt

ICML 2023 Algorithmic Collective Action in Machine Learning Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic

NeurIPSW 2022 Causal Inference Out of Control: Identifying the Steerability of Consumption Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

NeurIPS 2022 Performative Power Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner

ICML 2021 Alternative Microfoundations for Strategic Classification Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt

NeurIPS 2021 Retiring Adult: New Datasets for Fair Machine Learning Frances Ding, Moritz Hardt, John P. Miller, Ludwig Schmidt

ICML 2020 Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Bjorkegren, Moritz Hardt, Joshua Blumenstock

ICLR 2020 Identity Crisis: Memorization and Generalization Under Extreme Overparameterization Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer

AISTATS 2020 Linear Dynamics: Clustering Without Identification Chloe Hsu, Michaela Hardt, Moritz Hardt

ICML 2020 Performative Prediction Juan Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt

NeurIPS 2020 Stochastic Optimization for Performative Prediction Celestine Mendler-Dünner, Juan Perdomo, Tijana Zrnic, Moritz Hardt

ICML 2020 Strategic Classification Is Causal Modeling in Disguise John Miller, Smitha Milli, Moritz Hardt

ICML 2020 Test-Time Training with Self-Supervision for Generalization Under Distribution Shifts Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, Moritz Hardt

NeurIPS 2019 A Meta-Analysis of Overfitting in Machine Learning Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

IJCAI 2019 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

ICMLW 2019 Identity Crisis: Memorization and Generalization Under Extreme Overparameterization Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer

NeurIPS 2019 Model Similarity Mitigates Test Set Overuse Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht

ICML 2019 Natural Analysts in Adaptive Data Analysis Tijana Zrnic, Moritz Hardt

COLT 2019 Open Problem: How Fast Can a Multiclass Test Set Be Overfit? Vitaly Feldman, Roy Frostig, Moritz Hardt

ICLR 2019 Stable Recurrent Models John Miller, Moritz Hardt

ICML 2019 The Advantages of Multiple Classes for Reducing Overfitting from Test Set Reuse Vitaly Feldman, Roy Frostig, Moritz Hardt

ICML 2019 The Implicit Fairness Criterion of Unconstrained Learning Lydia T. Liu, Max Simchowitz, Moritz Hardt

ICML 2018 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

JMLR 2018 Gradient Descent Learns Linear Dynamical Systems Moritz Hardt, Tengyu Ma, Benjamin Recht

NeurIPS 2018 Sanity Checks for Saliency Maps Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, Been Kim

NeurIPS 2017 Avoiding Discrimination Through Causal Reasoning Niki Kilbertus, Mateo Rojas Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf

ICLR 2017 Identity Matters in Deep Learning Moritz Hardt, Tengyu Ma

ICLR 2017 Understanding Deep Learning Requires Rethinking Generalization Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals

NeurIPS 2016 Equality of Opportunity in Supervised Learning Moritz Hardt, Eric Price, Ecprice, Nati Srebro

ICML 2016 Train Faster, Generalize Better: Stability of Stochastic Gradient Descent Moritz Hardt, Ben Recht, Yoram Singer

NeurIPS 2015 Differentially Private Learning of Structured Discrete Distributions Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt

NeurIPS 2015 Generalization in Adaptive Data Analysis and Holdout Reuse Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toni Pitassi, Omer Reingold, Aaron Roth

ICML 2015 The Ladder: A Reliable Leaderboard for Machine Learning Competitions Avrim Blum, Moritz Hardt

COLT 2014 Computational Limits for Matrix Completion Moritz Hardt, Raghu Meka, Prasad Raghavendra, Benjamin Weitz

COLT 2014 Fast Matrix Completion Without the Condition Number Moritz Hardt, Mary Wootters

NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications Moritz Hardt, Eric Price

COLT 2013 Algorithms and Hardness for Robust Subspace Recovery Moritz Hardt, Ankur Moitra

NeurIPS 2012 A Simple and Practical Algorithm for Differentially Private Data Release Moritz Hardt, Katrina Ligett, Frank Mcsherry