Moritz Hardt

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 98

Top Venues

Publications

Guanhua Zhang, Moritz Hardt
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks. CoRR (2024)
Florian E. Dorner, Moritz Hardt
Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. CoRR (2024)
Olawale Salaudeen, Moritz Hardt
ImageNot: A contrast with ImageNet preserves model rankings. CoRR (2024)
André F. Cruz, Moritz Hardt
Unprocessing Seven Years of Algorithmic Fairness. ICLR (2024)
Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt
Causal Inference from Competing Treatments. CoRR (2024)
Moritz Hardt, Yu Sun
Test-Time Training on Nearest Neighbors for Large Language Models. ICLR (2024)
Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt
Training on the Test Task Confounds Evaluation and Emergence. CoRR (2024)
Vivian Y. Nastl, Moritz Hardt
Predictors from causal features do not generalize better to new domains. CoRR (2024)
Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore
Lawma: The Power of Specialization for Legal Tasks. CoRR (2024)
Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
An engine not a camera: Measuring performative power of online search. CoRR (2024)
André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner
Evaluating language models as risk scores. CoRR (2024)
Mina Remeli, Moritz Hardt, Robert C. Williamson
Limits to Predicting Online Speech Using Large Language Models. CoRR (2024)
Ali Shirali, Rediet Abebe, Moritz Hardt
Allocation Requires Prediction Only if Inequality Is Low. CoRR (2024)
Ali Shirali, Moritz Hardt
What Makes ImageNet Look Unlike LAION. CoRR (2023)
Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
Causal Inference out of Control: Estimating the Steerability of Consumption. CoRR (2023)
Juan C. Perdomo, Tolani Britton, Moritz Hardt, Rediet Abebe
Difficult Lessons on Social Prediction from Wisconsin Public Schools. CoRR (2023)
Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
Questioning the Survey Responses of Large Language Models. CoRR (2023)
Michael P. Kim, Moritz Hardt
Is Your Model Predicting the Past? EAAMO (2023)
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
Algorithmic Collective Action in Machine Learning. ICML (2023)
André F. Cruz, Moritz Hardt
Unprocessing Seven Years of Algorithmic Fairness. CoRR (2023)
Moritz Hardt, Celestine Mendler-Dünner
Performative Prediction: Past and Future. CoRR (2023)
Moritz Hardt, Yu Sun
Test-Time Training on Nearest Neighbors for Large Language Models. CoRR (2023)
Ali Shirali, Rediet Abebe, Moritz Hardt
A Theory of Dynamic Benchmarks. ICLR (2023)
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
Algorithmic Collective Action in Machine Learning. CoRR (2023)
Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
Algorithmic amplification of politics on Twitter. Proc. Natl. Acad. Sci. USA 119 (1) (2022)
Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler
Adversarial Scrutiny of Evidentiary Statistical Software. CoRR (2022)
Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt
County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. CoRR (2022)
Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler
Adversarial Scrutiny of Evidentiary Statistical Software. FAccT (2022)
Smitha Milli, Luca Belli, Moritz Hardt
Causal Inference Struggles with Agency on Online Platforms. FAccT (2022)
Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
Performative Power. CoRR (2022)
Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
Performative Power. NeurIPS (2022)
Moritz Hardt, Michael P. Kim
Backward baselines: Is your model predicting the past? CoRR (2022)
Ali Shirali, Rediet Abebe, Moritz Hardt
A Theory of Dynamic Benchmarks. CoRR (2022)
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
Alternative Microfoundations for Strategic Classification. CoRR (2021)
Smitha Milli, Luca Belli, Moritz Hardt
Causal Inference Struggles with Agency on Online Platforms. CoRR (2021)
Moritz Hardt, Benjamin Recht
Patterns, predictions, and actions: A story about machine learning. CoRR (2021)
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
Alternative Microfoundations for Strategic Classification. ICML (2021)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
Understanding deep learning (still) requires rethinking generalization. Commun. ACM 64 (3) (2021)
Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt
Retiring Adult: New Datasets for Fair Machine Learning. CoRR (2021)
Smitha Milli, Luca Belli, Moritz Hardt
From Optimizing Engagement to Measuring Value. FAccT (2021)
Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
Algorithmic Amplification of Politics on Twitter. CoRR (2021)
Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt
Retiring Adult: New Datasets for Fair Machine Learning. NeurIPS (2021)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization. ICLR (2020)
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
Performative Prediction. ICML (2020)
Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. ICML (2020)
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
Performative Prediction. CoRR (2020)
Smitha Milli, Luca Belli, Moritz Hardt
From Optimizing Engagement to Measuring Value. CoRR (2020)
John Miller, Smitha Milli, Moritz Hardt
Strategic Classification is Causal Modeling in Disguise. ICML (2020)
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. ICML (2020)
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
Stochastic Optimization for Performative Prediction. CoRR (2020)
Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt
Revisiting Design Choices in Proximal Policy Optimization. CoRR (2020)
Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. CoRR (2020)
Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt
Linear Dynamics: Clustering without identification. AISTATS (2020)
Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Jonathan Ben-tzur, Moritz Hardt, Benjamin Recht, Ameet Talwalkar
A System for Massively Parallel Hyperparameter Tuning. MLSys (2020)
Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael Howell, Greg Corrado, Claire Cui, Moritz Hardt
Explaining an increase in predicted risk for clinical alerts. CHIL (2020)
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
Stochastic Optimization for Performative Prediction. NeurIPS (2020)
Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt
Model Reconstruction from Model Explanations. FAT (2019)
John Miller, Smitha Milli, Moritz Hardt
Strategic Adaptation to Classifiers: A Causal Perspective. CoRR (2019)
Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt
Linear Dynamics: Clustering without identification. CoRR (2019)
Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael Howell, Greg Corrado, Claire Cui, Moritz Hardt
Explaining an increase in predicted risk for clinical alerts. CoRR (2019)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer
Identity Crisis: Memorization and Generalization under Extreme Overparameterization. CoRR (2019)
Vitaly Feldman, Roy Frostig, Moritz Hardt
The advantages of multiple classes for reducing overfitting from test set reuse. CoRR (2019)
Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt
The Social Cost of Strategic Classification. FAT (2019)
Vitaly Feldman, Roy Frostig, Moritz Hardt
The advantages of multiple classes for reducing overfitting from test set reuse. ICML (2019)
Tijana Zrnic, Moritz Hardt
Natural Analysts in Adaptive Data Analysis. ICML (2019)
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
Test-Time Training for Out-of-Distribution Generalization. CoRR (2019)
Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht
Model Similarity Mitigates Test Set Overuse. NeurIPS (2019)
Tijana Zrnic, Moritz Hardt
Natural Analysts in Adaptive Data Analysis. CoRR (2019)
Vitaly Feldman, Roy Frostig, Moritz Hardt
Open Problem: How fast can a multiclass test set be overfit? COLT (2019)
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
Delayed Impact of Fair Machine Learning. IJCAI (2019)
Lydia T. Liu, Max Simchowitz, Moritz Hardt
The Implicit Fairness Criterion of Unconstrained Learning. ICML (2019)
Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt
A Meta-Analysis of Overfitting in Machine Learning. NeurIPS (2019)
John Miller, Moritz Hardt
Stable Recurrent Models. ICLR (Poster) (2019)
Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht
Model Similarity Mitigates Test Set Overuse. CoRR (2019)
Lydia T. Liu, Max Simchowitz, Moritz Hardt
Group calibration is a byproduct of unconstrained learning. CoRR (2018)
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
Delayed Impact of Fair Machine Learning. ICML (2018)
Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar
Massively Parallel Hyperparameter Tuning. CoRR (2018)
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim
Sanity Checks for Saliency Maps. NeurIPS (2018)
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
Delayed Impact of Fair Machine Learning. CoRR (2018)
John Miller, Moritz Hardt
When Recurrent Models Don't Need To Be Recurrent. CoRR (2018)
Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt
The Social Cost of Strategic Classification. CoRR (2018)
Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt
Model Reconstruction from Model Explanations. CoRR (2018)
Moritz Hardt, Tengyu Ma, Benjamin Recht
Gradient Descent Learns Linear Dynamical Systems. J. Mach. Learn. Res. 19 (2018)
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim
Sanity Checks for Saliency Maps. CoRR (2018)
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth
Guilt-free data reuse. Commun. ACM 60 (4) (2017)
Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf
Avoiding Discrimination through Causal Reasoning. NIPS (2017)
Moritz Hardt, Tengyu Ma
Identity Matters in Deep Learning. ICLR (Poster) (2017)
Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf
Avoiding Discrimination through Causal Reasoning. CoRR (2017)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
Understanding deep learning requires rethinking generalization. ICLR (2017)
Moritz Hardt
Climbing a shaky ladder: Better adaptive risk estimation. CoRR (2017)
Moritz Hardt, Ben Recht, Yoram Singer
Train faster, generalize better: Stability of stochastic gradient descent. ICML (2016)
Moritz Hardt, Eric Price, Nathan Srebro
Equality of Opportunity in Supervised Learning. CoRR (2016)
Moritz Hardt, Nimrod Megiddo, Christos H. Papadimitriou, Mary Wootters
Strategic Classification. ITCS (2016)
Moritz Hardt, Tengyu Ma, Benjamin Recht
Gradient Descent Learns Linear Dynamical Systems. CoRR (2016)
Moritz Hardt, Tengyu Ma
Identity Matters in Deep Learning. CoRR (2016)
Moritz Hardt, Eric Price, Nati Srebro
Equality of Opportunity in Supervised Learning. NIPS (2016)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
Understanding deep learning requires rethinking generalization. CoRR (2016)
Moritz Hardt, Yuval Ishai, Raghu Meka, Virginia Vassilevska Williams
Special Section on the Fifty-Fourth Annual IEEE Symposium on Foundations of Computer Science (FOCS 2013). SIAM J. Comput. 45 (3) (2016)
Moritz Hardt, Benjamin Recht, Yoram Singer
Train faster, generalize better: Stability of stochastic gradient descent. CoRR (2015)
Moritz Hardt, Nimrod Megiddo, Christos H. Papadimitriou, Mary Wootters
Strategic Classification. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

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Moritz Hardt