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ORCIDMoritz Hardt
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- affiliation: University of California, Berkeley, CA, USA
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2020 – today
- 2023
[c63]Ali Shirali, Rediet Abebe, Moritz Hardt:
A Theory of Dynamic Benchmarks. ICLR 2023- [c62]Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic:
Algorithmic Collective Action in Machine Learning. ICML 2023: 12570-12586 - [i65]Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic:
Algorithmic Collective Action in Machine Learning. CoRR abs/2302.04262 (2023) - [i64]Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner:
Causal Inference out of Control: Estimating the Steerability of Consumption. CoRR abs/2302.04989 (2023) - [i63]Juan C. Perdomo, Tolani Britton, Moritz Hardt, Rediet Abebe:
Difficult Lessons on Social Prediction from Wisconsin Public Schools. CoRR abs/2304.06205 (2023) - [i62]Moritz Hardt, Yu Sun:
Test-Time Training on Nearest Neighbors for Large Language Models. CoRR abs/2305.18466 (2023) - [i61]André F. Cruz, Moritz Hardt:
Unprocessing Seven Years of Algorithmic Fairness. CoRR abs/2306.07261 (2023) - [i60]Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner:
Questioning the Survey Responses of Large Language Models. CoRR abs/2306.07951 (2023) - [i59]Ali Shirali, Moritz Hardt:
What Makes ImageNet Look Unlike LAION. CoRR abs/2306.15769 (2023) - 2022
- [j7]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): e2025334119 (2022) - [c61]Smitha Milli, Luca Belli, Moritz Hardt:
Causal Inference Struggles with Agency on Online Platforms. FAccT 2022: 357-365 - [c60]Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler:
Adversarial Scrutiny of Evidentiary Statistical Software. FAccT 2022: 1733-1746 - [c59]Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner:
Performative Power. NeurIPS 2022 - [i58]Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner:
Performative Power. CoRR abs/2203.17232 (2022) - [i57]Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler:
Adversarial Scrutiny of Evidentiary Statistical Software. CoRR abs/2206.09305 (2022) - [i56]Moritz Hardt, Michael P. Kim:
Backward baselines: Is your model predicting the past? CoRR abs/2206.11673 (2022) - [i55]Ali Shirali, Rediet Abebe, Moritz Hardt:
A Theory of Dynamic Benchmarks. CoRR abs/2210.03165 (2022) - [i54]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 abs/2211.08667 (2022) - 2021
- [j6]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning (still) requires rethinking generalization. Commun. ACM 64(3): 107-115 (2021) - [c58]Smitha Milli, Luca Belli, Moritz Hardt:
From Optimizing Engagement to Measuring Value. FAccT 2021: 714-722 - [c57]Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt:
Alternative Microfoundations for Strategic Classification. ICML 2021: 4687-4697 - [c56]Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt:
Retiring Adult: New Datasets for Fair Machine Learning. NeurIPS 2021: 6478-6490 - [i53]Moritz Hardt, Benjamin Recht:
Patterns, predictions, and actions: A story about machine learning. CoRR abs/2102.05242 (2021) - [i52]Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt:
Alternative Microfoundations for Strategic Classification. CoRR abs/2106.12705 (2021) - [i51]Smitha Milli, Luca Belli, Moritz Hardt:
Causal Inference Struggles with Agency on Online Platforms. CoRR abs/2107.08995 (2021) - [i50]Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt:
Retiring Adult: New Datasets for Fair Machine Learning. CoRR abs/2108.04884 (2021) - [i49]Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt:
Algorithmic Amplification of Politics on Twitter. CoRR abs/2110.11010 (2021) - 2020
- [c55]Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. AISTATS 2020: 918-929 - [c54]Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CHIL 2020: 80-89 - [c53]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer:
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization. ICLR 2020 - [c52]John Miller, Smitha Milli, Moritz Hardt:
Strategic Classification is Causal Modeling in Disguise. ICML 2020: 6917-6926 - [c51]Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt:
Performative Prediction. ICML 2020: 7599-7609 - [c50]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: 8158-8168 - [c49]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: 9229-9248 - [c48]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 - [c47]Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt:
Stochastic Optimization for Performative Prediction. NeurIPS 2020 - [p1]Moritz Hardt:
Generalization in Overparameterized Models. Beyond the Worst-Case Analysis of Algorithms 2020: 486-505 - [i48]Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt:
Performative Prediction. CoRR abs/2002.06673 (2020) - [i47]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 abs/2003.06740 (2020) - [i46]Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt:
Stochastic Optimization for Performative Prediction. CoRR abs/2006.06887 (2020) - [i45]Smitha Milli, Luca Belli, Moritz Hardt:
From Optimizing Engagement to Measuring Value. CoRR abs/2008.12623 (2020) - [i44]Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt:
Revisiting Design Choices in Proximal Policy Optimization. CoRR abs/2009.10897 (2020)
2010 – 2019
- 2019
- [c46]Vitaly Feldman, Roy Frostig, Moritz Hardt:
Open Problem: How fast can a multiclass test set be overfit? COLT 2019: 3185-3189 - [c45]Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt:
Model Reconstruction from Model Explanations. FAT 2019: 1-9 - [c44]Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt:
The Social Cost of Strategic Classification. FAT 2019: 230-239 - [c43]John Miller, Moritz Hardt:
Stable Recurrent Models. ICLR (Poster) 2019 - [c42]Vitaly Feldman, Roy Frostig, Moritz Hardt:
The advantages of multiple classes for reducing overfitting from test set reuse. ICML 2019: 1892-1900 - [c41]Lydia T. Liu, Max Simchowitz, Moritz Hardt:
The Implicit Fairness Criterion of Unconstrained Learning. ICML 2019: 4051-4060 - [c40]Tijana Zrnic, Moritz Hardt:
Natural Analysts in Adaptive Data Analysis. ICML 2019: 7703-7711 - [c39]Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt:
Delayed Impact of Fair Machine Learning. IJCAI 2019: 6196-6200 - [c38]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: 9175-9185 - [c37]Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht:
Model Similarity Mitigates Test Set Overuse. NeurIPS 2019: 9993-10002 - [i43]Tijana Zrnic, Moritz Hardt:
Natural Analysts in Adaptive Data Analysis. CoRR abs/1901.11143 (2019) - [i42]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer:
Identity Crisis: Memorization and Generalization under Extreme Overparameterization. CoRR abs/1902.04698 (2019) - [i41]Vitaly Feldman, Roy Frostig, Moritz Hardt:
The advantages of multiple classes for reducing overfitting from test set reuse. CoRR abs/1905.10360 (2019) - [i40]Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht:
Model Similarity Mitigates Test Set Overuse. CoRR abs/1905.12580 (2019) - [i39]Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt:
Explaining an increase in predicted risk for clinical alerts. CoRR abs/1907.04911 (2019) - [i38]Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt:
Linear Dynamics: Clustering without identification. CoRR abs/1908.01039 (2019) - [i37]Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training for Out-of-Distribution Generalization. CoRR abs/1909.13231 (2019) - [i36]John Miller, Smitha Milli, Moritz Hardt:
Strategic Adaptation to Classifiers: A Causal Perspective. CoRR abs/1910.10362 (2019) - 2018
- [j5]Moritz Hardt, Tengyu Ma, Benjamin Recht:
Gradient Descent Learns Linear Dynamical Systems. J. Mach. Learn. Res. 19: 29:1-29:44 (2018) - [c36]Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt:
Delayed Impact of Fair Machine Learning. ICML 2018: 3156-3164 - [c35]Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim:
Sanity Checks for Saliency Maps. NeurIPS 2018: 9525-9536 - [i35]Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt:
Delayed Impact of Fair Machine Learning. CoRR abs/1803.04383 (2018) - [i34]John Miller, Moritz Hardt:
When Recurrent Models Don't Need To Be Recurrent. CoRR abs/1805.10369 (2018) - [i33]Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt:
Model Reconstruction from Model Explanations. CoRR abs/1807.05185 (2018) - [i32]Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt:
The Social Cost of Strategic Classification. CoRR abs/1808.08460 (2018) - [i31]Lydia T. Liu, Max Simchowitz, Moritz Hardt:
Group calibration is a byproduct of unconstrained learning. CoRR abs/1808.10013 (2018) - [i30]Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim:
Sanity Checks for Saliency Maps. CoRR abs/1810.03292 (2018) - [i29]Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar:
Massively Parallel Hyperparameter Tuning. CoRR abs/1810.05934 (2018) - 2017
- [j4]Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth:
Guilt-free data reuse. Commun. ACM 60(4): 86-93 (2017) - [c34]Moritz Hardt, Tengyu Ma:
Identity Matters in Deep Learning. ICLR (Poster) 2017 - [c33]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning requires rethinking generalization. ICLR 2017 - [c32]Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf:
Avoiding Discrimination through Causal Reasoning. NIPS 2017: 656-666 - [i28]Moritz Hardt:
Climbing a shaky ladder: Better adaptive risk estimation. CoRR abs/1706.02733 (2017) - [i27]Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf:
Avoiding Discrimination through Causal Reasoning. CoRR abs/1706.02744 (2017) - 2016
- [j3]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): 881 (2016) - [c31]Moritz Hardt, Ben Recht, Yoram Singer:
Train faster, generalize better: Stability of stochastic gradient descent. ICML 2016: 1225-1234 - [c30]Moritz Hardt, Nimrod Megiddo, Christos H. Papadimitriou, Mary Wootters:
Strategic Classification. ITCS 2016: 111-122 - [c29]Moritz Hardt, Eric Price, Nati Srebro:
Equality of Opportunity in Supervised Learning. NIPS 2016: 3315-3323 - [r1]Moritz Hardt:
Private Spectral Analysis. Encyclopedia of Algorithms 2016: 1622-1626 - [i26]Moritz Hardt, Tengyu Ma, Benjamin Recht:
Gradient Descent Learns Linear Dynamical Systems. CoRR abs/1609.05191 (2016) - [i25]Moritz Hardt, Eric Price, Nathan Srebro:
Equality of Opportunity in Supervised Learning. CoRR abs/1610.02413 (2016) - [i24]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning requires rethinking generalization. CoRR abs/1611.03530 (2016) - [i23]Moritz Hardt, Tengyu Ma:
Identity Matters in Deep Learning. CoRR abs/1611.04231 (2016) - 2015
- [c28]Avrim Blum, Moritz Hardt:
The Ladder: A Reliable Leaderboard for Machine Learning Competitions. ICML 2015: 1006-1014 - [c27]Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth:
Generalization in Adaptive Data Analysis and Holdout Reuse. NIPS 2015: 2350-2358 - [c26]Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt:
Differentially Private Learning of Structured Discrete Distributions. NIPS 2015: 2566-2574 - [c25]Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Leon Roth:
Preserving Statistical Validity in Adaptive Data Analysis. STOC 2015: 117-126 - [c24]Moritz Hardt, Eric Price:
Tight Bounds for Learning a Mixture of Two Gaussians. STOC 2015: 753-760 - [i22]Avrim Blum, Moritz Hardt:
The Ladder: A Reliable Leaderboard for Machine Learning Competitions. CoRR abs/1502.04585 (2015) - [i21]Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth:
Generalization in Adaptive Data Analysis and Holdout Reuse. CoRR abs/1506.02629 (2015) - [i20]Moritz Hardt, Nimrod Megiddo, Christos H. Papadimitriou, Mary Wootters:
Strategic Classification. CoRR abs/1506.06980 (2015) - [i19]Moritz Hardt, Benjamin Recht, Yoram Singer:
Train faster, generalize better: Stability of stochastic gradient descent. CoRR abs/1509.01240 (2015) - 2014
- [c23]Moritz Hardt, Mary Wootters:
Fast matrix completion without the condition number. COLT 2014: 638-678 - [c22]Moritz Hardt, Raghu Meka, Prasad Raghavendra, Benjamin Weitz:
Computational Limits for Matrix Completion. COLT 2014: 703-725 - [c21]Moritz Hardt, Jonathan R. Ullman:
Preventing False Discovery in Interactive Data Analysis Is Hard. FOCS 2014: 454-463 - [c20]Moritz Hardt:
Understanding Alternating Minimization for Matrix Completion. FOCS 2014: 651-660 - [c19]Moritz Hardt, Eric Price:
The Noisy Power Method: A Meta Algorithm with Applications. NIPS 2014: 2861-2869 - [i18]Moritz Hardt, Raghu Meka, Prasad Raghavendra, Benjamin Weitz:
Computational Limits for Matrix Completion. CoRR abs/1402.2331 (2014) - [i17]Moritz Hardt, Eric Price:
Sharp bounds for learning a mixture of two gaussians. CoRR abs/1404.4997 (2014) - [i16]Moritz Hardt, Mary Wootters:
Fast matrix completion without the condition number. CoRR abs/1407.4070 (2014) - [i15]Moritz Hardt, Jonathan R. Ullman:
Preventing False Discovery in Interactive Data Analysis is Hard. CoRR abs/1408.1655 (2014) - [i14]Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth:
Preserving Statistical Validity in Adaptive Data Analysis. CoRR abs/1411.2664 (2014) - 2013
- [j2]Anupam Gupta, Moritz Hardt, Aaron Roth, Jonathan R. Ullman:
Privately Releasing Conjunctions and the Statistical Query Barrier. SIAM J. Comput. 42(4): 1494-1520 (2013) - [c18]Moritz Hardt:
Robust subspace iteration and privacy-preserving spectral analysis. Allerton 2013: 1624-1626 - [c17]Moritz Hardt, Ankur Moitra:
Algorithms and Hardness for Robust Subspace Recovery. COLT 2013: 354-375 - [c16]Ritwik Kumar, Ting Chen, Moritz Hardt, David Beymer, Karen Brannon, Tanveer Fathima Syeda-Mahmood:
Multiple Kernel Completion and its application to cardiac disease discrimination. ISBI 2013: 764-767 - [c15]Moritz Hardt, David P. Woodruff:
How robust are linear sketches to adaptive inputs? STOC 2013: 121-130 - [c14]Moritz Hardt, Aaron Roth:
Beyond worst-case analysis in private singular vector computation. STOC 2013: 331-340 - [i13]Moritz Hardt:
Robust Subspace Iteration and Privacy-Preserving Spectral Analysis. CoRR abs/1311.2495 (2013) - [i12]Moritz Hardt:
On the Provable Convergence of Alternating Minimization for Matrix Completion. CoRR abs/1312.0925 (2013) - 2012
- [c13]Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Richard S. Zemel:
Fairness through awareness. ITCS 2012: 214-226 - [c12]Moritz Hardt, Nikhil Srivastava, Madhur Tulsiani:
Graph densification. ITCS 2012: 380-392 - [c11]Moritz Hardt, Katrina Ligett, Frank McSherry:
A Simple and Practical Algorithm for Differentially Private Data Release. NIPS 2012: 2348-2356 - [c10]Moritz Hardt, Guy N. Rothblum, Rocco A. Servedio:
Private data release via learning thresholds. SODA 2012: 168-187 - [c9]Moritz Hardt, Aaron Roth:
Beating randomized response on incoherent matrices. STOC 2012: 1255-1268 - [i11]Moritz Hardt, Aaron Roth:
Beyond Worst-Case Analysis in Private Singular Vector Computation. CoRR abs/1211.0975 (2012) - [i10]Moritz Hardt, Ankur Moitra:
Can We Reconcile Robustness and Efficiency in Unsupervised Learning? CoRR abs/1211.1041 (2012) - [i9]Moritz Hardt, David P. Woodruff:
How Robust are Linear Sketches to Adaptive Inputs? CoRR abs/1211.1056 (2012) - 2011
- [c8]Boaz Barak, Moritz Hardt, Thomas Holenstein, David Steurer:
Subsampling Mathematical Relaxations and Average-case Complexity. SODA 2011: 512-531 - [c7]Anupam Gupta, Moritz Hardt, Aaron Roth, Jonathan R. Ullman:
Privately releasing conjunctions and the statistical query barrier. STOC 2011: 803-812 - [i8]Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Richard S. Zemel:
Fairness Through Awareness. CoRR abs/1104.3913 (2011) - [i7]Moritz Hardt, Guy N. Rothblum, Rocco A. Servedio:
Private Data Release via Learning Thresholds. CoRR abs/1107.2444 (2011) - [i6]Moritz Hardt, Aaron Roth:
Beating Randomized Response on Incoherent Matrices. CoRR abs/1111.0623 (2011) - 2010
- [c6]Moritz Hardt, Guy N. Rothblum:
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis. FOCS 2010: 61-70 - [c5]Moritz Hardt, Kunal Talwar:
On the geometry of differential privacy. STOC 2010: 705-714 - [i5]Anupam Gupta, Moritz Hardt, Aaron Roth, Jonathan R. Ullman:
Privately Releasing Conjunctions and the Statistical Query Barrier. CoRR abs/1011.1296 (2010) - [i4]Moritz Hardt, Katrina Ligett, Frank McSherry:
A simple and practical algorithm for differentially private data release. CoRR abs/1012.4763 (2010)
2000 – 2009
- 2009
- [j1]Markus Bläser, Moritz Hardt, Richard J. Lipton, Nisheeth K. Vishnoi:
Deterministically testing sparse polynomial identities of unbounded degree. Inf. Process. Lett. 109(3): 187-192 (2009) - [c4]Boaz Barak, Moritz Hardt, Satyen Kale:
The uniform hardcore lemma via approximate Bregman projections. SODA 2009: 1193-1200 - [i3]Moritz Hardt, Kunal Talwar:
On the Geometry of Differential Privacy. CoRR abs/0907.3754 (2009) - [i2]