Moritz Hardt - RankMe

183 papers A* 57A 4Journal 96Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational Arbitrage in AI Model Markets. CoRR Ricardo Dominguez-Olmedo, Bernhard Schölkopf, Moritz Hardt
2026	J	`jnl`	Good Allocations from Bad Estimates. CoRR Sílvia Casacuberta, Moritz Hardt
2026	J	`jnl`	Leaderboard Incentives: Model Rankings under Strategic Post-Training. CoRR Yatong Chen, Guanhua Zhang, Moritz Hardt
2026	A*	`conf`	Stochastic Wage Suppression on Gig Platforms and How to Organize Against It. WWW Ana-Andreea Stoica, Celestine Mendler-Dünner, Moritz Hardt
2025	J	`jnl`	Answer Matching Outperforms Multiple Choice for Language Model Evaluation. CoRR Nikhil Chandak, Shashwat Goel, Ameya Prabhu, Moritz Hardt, Jonas Geiping
2025	A*	`conf`	Decline Now: A Combinatorial Model for Algorithmic Collective Action. CHI Dorothee Sigg, Moritz Hardt, Celestine Mendler-Dünner
2025	—	`conf`	Difficult Lessons on Social Prediction from Wisconsin Public Schools. FAccT Juan Carlos Perdomo, Tolani Britton, Moritz Hardt, Rediet Abebe
2025	J	`jnl`	How Benchmark Prediction from Fewer Data Misses the Mark. CoRR Guanhua Zhang, Florian E. Dorner, Moritz Hardt
2025	A*	`conf`	Lawma: The Power of Specialization for Legal Annotation. ICLR Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore
2025	J	`jnl`	Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning. CoRR Jonas Hübotter, Leander Diaz-Bone, Ido Hakimi, Andreas Krause, Moritz Hardt
2025	A*	`conf`	Limits to scalable evaluation at the frontier: LLM as judge won't beat twice the data. ICLR Florian E. Dorner, Vivian Yvonne Nastl, Moritz Hardt
2025	—	`conf`	Policy Design in Long-Run Welfare Dynamics. EAAMO Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica
2025	J	`jnl`	Policy Design in Long-Run Welfare Dynamics. CoRR Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica
2025	A*	`conf`	Policy Design in Long-run Welfare Dynamics. ICLR Jiduan Wu, Rediet Abebe, Moritz Hardt, Ana-Andreea Stoica
2025	J	`jnl`	Scaling Open-Ended Reasoning to Predict the Future. CoRR Nikhil Chandak, Shashwat Goel, Ameya Prabhu, Moritz Hardt, Jonas Geiping
2025	J	`jnl`	Train-before-Test Harmonizes Language Model Rankings. CoRR Guanhua Zhang, Ricardo Dominguez-Olmedo, Moritz Hardt
2025	A*	`conf`	Training on the Test Task Confounds Evaluation and Emergence. ICLR Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt
2025	J	`jnl`	What Makes ImageNet Look Unlike LAION. Trans. Mach. Learn. Res. Ali Shirali, Moritz Hardt
2024	A*	`conf`	Allocation Requires Prediction Only if Inequality Is Low. ICML Ali Shirali, Rediet Abebe, Moritz Hardt
2024	J	`jnl`	Allocation Requires Prediction Only if Inequality Is Low. CoRR Ali Shirali, Rediet Abebe, Moritz Hardt
2024	A*	`conf`	An engine not a camera: Measuring performative power of online search. NeurIPS Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
2024	J	`jnl`	An engine not a camera: Measuring performative power of online search. CoRR Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
2024	A*	`conf`	Causal Inference from Competing Treatments. ICML Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt
2024	J	`jnl`	Causal Inference from Competing Treatments. CoRR Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt
2024	A*	`conf`	Causal Inference out of Control: Estimating Performativity without Treatment Randomization. ICML Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
2024	J	`jnl`	Decline Now: A Combinatorial Model for Algorithmic Collective Action. CoRR Dorothee Sigg, Moritz Hardt, Celestine Mendler-Dünner
2024	A*	`conf`	Do causal predictors generalize better to new domains? NeurIPS Vivian Y. Nastl, Moritz Hardt
2024	A*	`conf`	Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. ICML Florian E. Dorner, Moritz Hardt
2024	J	`jnl`	Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget. CoRR Florian E. Dorner, Moritz Hardt
2024	A*	`conf`	Evaluating language models as risk scores. NeurIPS André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner
2024	J	`jnl`	Evaluating language models as risk scores. CoRR André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner
2024	J	`jnl`	ImageNot: A contrast with ImageNet preserves model rankings. CoRR Olawale Salaudeen, Moritz Hardt
2024	A*	`conf`	Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks. ICML Guanhua Zhang, Moritz Hardt
2024	J	`jnl`	Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks. CoRR Guanhua Zhang, Moritz Hardt
2024	J	`jnl`	Lawma: The Power of Specialization for Legal Tasks. CoRR Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore
2024	J	`jnl`	Limits to Predicting Online Speech Using Large Language Models. CoRR Mina Remeli, Moritz Hardt, Robert C. Williamson
2024	J	`jnl`	Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data. CoRR Florian E. Dorner, Vivian Y. Nastl, Moritz Hardt
2024	J	`jnl`	Predictors from causal features do not generalize better to new domains. CoRR Vivian Y. Nastl, Moritz Hardt
2024	A*	`conf`	Questioning the Survey Responses of Large Language Models. NeurIPS Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
2024	A*	`conf`	Test-Time Training on Nearest Neighbors for Large Language Models. ICLR Moritz Hardt, Yu Sun
2024	J	`jnl`	Training on the Test Task Confounds Evaluation and Emergence. CoRR Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt
2024	A*	`conf`	Unprocessing Seven Years of Algorithmic Fairness. ICLR André F. Cruz, Moritz Hardt
2023	A*	`conf`	A Theory of Dynamic Benchmarks. ICLR Ali Shirali, Rediet Abebe, Moritz Hardt
2023	A*	`ed.`	Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. NeurIPS Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine
2023	A*	`conf`	Algorithmic Collective Action in Machine Learning. ICML Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
2023	J	`jnl`	Algorithmic Collective Action in Machine Learning. CoRR Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
2023	J	`jnl`	Causal Inference out of Control: Estimating the Steerability of Consumption. CoRR Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
2023	J	`jnl`	Difficult Lessons on Social Prediction from Wisconsin Public Schools. CoRR Juan C. Perdomo, Tolani Britton, Moritz Hardt, Rediet Abebe
2023	—	`conf`	Is Your Model Predicting the Past? EAAMO Michael P. Kim, Moritz Hardt
2023	J	`jnl`	Performative Prediction: Past and Future. CoRR Moritz Hardt, Celestine Mendler-Dünner
2023	J	`jnl`	Questioning the Survey Responses of Large Language Models. CoRR Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
2023	J	`jnl`	Test-Time Training on Nearest Neighbors for Large Language Models. CoRR Moritz Hardt, Yu Sun
2023	J	`jnl`	Unprocessing Seven Years of Algorithmic Fairness. CoRR André F. Cruz, Moritz Hardt
2023	J	`jnl`	What Makes ImageNet Look Unlike LAION. CoRR Ali Shirali, Moritz Hardt
2022	J	`jnl`	A Theory of Dynamic Benchmarks. CoRR Ali Shirali, Rediet Abebe, Moritz Hardt
2022	—	`conf`	Adversarial Scrutiny of Evidentiary Statistical Software. FAccT Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler
2022	J	`jnl`	Adversarial Scrutiny of Evidentiary Statistical Software. CoRR Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler
2022	J	`jnl`	Algorithmic amplification of politics on Twitter. Proc. Natl. Acad. Sci. USA Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
2022	J	`jnl`	Backward baselines: Is your model predicting the past? CoRR Moritz Hardt, Michael P. Kim
2022	—	`conf`	Causal Inference Struggles with Agency on Online Platforms. FAccT Smitha Milli, Luca Belli, Moritz Hardt
2022	J	`jnl`	County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. CoRR Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt
2022	A*	`conf`	Performative Power. NeurIPS Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
2022	J	`jnl`	Performative Power. CoRR Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
2021	J	`jnl`	Algorithmic Amplification of Politics on Twitter. CoRR Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
2021	A*	`conf`	Alternative Microfoundations for Strategic Classification. ICML Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
2021	J	`jnl`	Alternative Microfoundations for Strategic Classification. CoRR Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
2021	J	`jnl`	Causal Inference Struggles with Agency on Online Platforms. CoRR Smitha Milli, Luca Belli, Moritz Hardt
2021	—	`conf`	From Optimizing Engagement to Measuring Value. FAccT Smitha Milli, Luca Belli, Moritz Hardt
2021	J	`jnl`	Patterns, predictions, and actions: A story about machine learning. CoRR Moritz Hardt, Benjamin Recht
2021	A*	`conf`	Retiring Adult: New Datasets for Fair Machine Learning. NeurIPS Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt
2021	J	`jnl`	Retiring Adult: New Datasets for Fair Machine Learning. CoRR Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt
2021	J	`jnl`	Understanding deep learning (still) requires rethinking generalization. Commun. ACM Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
2020	—	`conf`	A System for Massively Parallel Hyperparameter Tuning. MLSys Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Jonathan Ben-tzur, Moritz Hardt, Benjamin Recht, Ameet Talwalkar
2020	A*	`conf`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. ICML Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	J	`jnl`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. CoRR Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	—	`conf`	Explaining an increase in predicted risk for clinical alerts. CHIL Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt
2020	J	`jnl`	From Optimizing Engagement to Measuring Value. CoRR Smitha Milli, Luca Belli, Moritz Hardt
2020	—	`ch.`	Generalization in Overparameterized Models. Beyond the Worst-Case Analysis of Algorithms Moritz Hardt
2020	A*	`conf`	Identity Crisis: Memorization and Generalization Under Extreme Overparameterization. ICLR Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer
2020	A	`conf`	Linear Dynamics: Clustering without identification. AISTATS Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt
2020	A*	`conf`	Performative Prediction. ICML Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
2020	J	`jnl`	Performative Prediction. CoRR Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
2020	J	`jnl`	Revisiting Design Choices in Proximal Policy Optimization. CoRR Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt
2020	A*	`conf`	Stochastic Optimization for Performative Prediction. NeurIPS Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
2020	J	`jnl`	Stochastic Optimization for Performative Prediction. CoRR Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
2020	A*	`conf`	Strategic Classification is Causal Modeling in Disguise. ICML John Miller, Smitha Milli, Moritz Hardt
2020	A*	`conf`	Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. ICML Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
2019	A*	`conf`	A Meta-Analysis of Overfitting in Machine Learning. NeurIPS Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt
2019	A*	`conf`	Delayed Impact of Fair Machine Learning. IJCAI Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2019	J	`jnl`	Explaining an increase in predicted risk for clinical alerts. CoRR Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew M. Dai, Michael D. Howell, Greg Corrado, Claire Cui, Moritz Hardt
2019	J	`jnl`	Identity Crisis: Memorization and Generalization under Extreme Overparameterization. CoRR Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer
2019	J	`jnl`	Linear Dynamics: Clustering without identification. CoRR Chloe Ching-Yun Hsu, Michaela Hardt, Moritz Hardt
2019	—	`conf`	Model Reconstruction from Model Explanations. FAT Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt
2019	A*	`conf`	Model Similarity Mitigates Test Set Overuse. NeurIPS Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht
2019	J	`jnl`	Model Similarity Mitigates Test Set Overuse. CoRR Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht
2019	A*	`conf`	Natural Analysts in Adaptive Data Analysis. ICML Tijana Zrnic, Moritz Hardt
2019	J	`jnl`	Natural Analysts in Adaptive Data Analysis. CoRR Tijana Zrnic, Moritz Hardt
2019	A*	`conf`	Open Problem: How fast can a multiclass test set be overfit? COLT Vitaly Feldman, Roy Frostig, Moritz Hardt
2019	—	`conf`	Stable Recurrent Models. ICLR (Poster) John Miller, Moritz Hardt
2019	J	`jnl`	Strategic Adaptation to Classifiers: A Causal Perspective. CoRR John Miller, Smitha Milli, Moritz Hardt
2019	J	`jnl`	Test-Time Training for Out-of-Distribution Generalization. CoRR Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
2019	A*	`conf`	The Implicit Fairness Criterion of Unconstrained Learning. ICML Lydia T. Liu, Max Simchowitz, Moritz Hardt
2019	—	`conf`	The Social Cost of Strategic Classification. FAT Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt
2019	A*	`conf`	The advantages of multiple classes for reducing overfitting from test set reuse. ICML Vitaly Feldman, Roy Frostig, Moritz Hardt
2019	J	`jnl`	The advantages of multiple classes for reducing overfitting from test set reuse. CoRR Vitaly Feldman, Roy Frostig, Moritz Hardt
2018	A*	`conf`	Delayed Impact of Fair Machine Learning. ICML Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Delayed Impact of Fair Machine Learning. CoRR Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Gradient Descent Learns Linear Dynamical Systems. J. Mach. Learn. Res. Moritz Hardt, Tengyu Ma, Benjamin Recht
2018	J	`jnl`	Group calibration is a byproduct of unconstrained learning. CoRR Lydia T. Liu, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Massively Parallel Hyperparameter Tuning. CoRR Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar
2018	J	`jnl`	Model Reconstruction from Model Explanations. CoRR Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt
2018	A*	`conf`	Sanity Checks for Saliency Maps. NeurIPS Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim
2018	J	`jnl`	Sanity Checks for Saliency Maps. CoRR Julius Adebayo, Justin Gilmer, Michael Muelly, Ian J. Goodfellow, Moritz Hardt, Been Kim
2018	J	`jnl`	The Social Cost of Strategic Classification. CoRR Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt
2018	J	`jnl`	When Recurrent Models Don't Need To Be Recurrent. CoRR John Miller, Moritz Hardt
2017	—	`conf`	Avoiding Discrimination through Causal Reasoning. NIPS Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf
2017	J	`jnl`	Avoiding Discrimination through Causal Reasoning. CoRR Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, Bernhard Schölkopf
2017	J	`jnl`	Climbing a shaky ladder: Better adaptive risk estimation. CoRR Moritz Hardt
2017	J	`jnl`	Guilt-free data reuse. Commun. ACM Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth
2017	—	`conf`	Identity Matters in Deep Learning. ICLR (Poster) Moritz Hardt, Tengyu Ma
2017	—	`conf`	Understanding deep learning requires rethinking generalization. ICLR Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
2016	—	`conf`	Equality of Opportunity in Supervised Learning. NIPS Moritz Hardt, Eric Price, Nati Srebro
2016	J	`jnl`	Equality of Opportunity in Supervised Learning. CoRR Moritz Hardt, Eric Price, Nathan Srebro
2016	J	`jnl`	Gradient Descent Learns Linear Dynamical Systems. CoRR Moritz Hardt, Tengyu Ma, Benjamin Recht
2016	J	`jnl`	Identity Matters in Deep Learning. CoRR Moritz Hardt, Tengyu Ma
2016	—	`ch.`	Private Spectral Analysis. Encyclopedia of Algorithms Moritz Hardt
2016	J	`jnl`	Special Section on the Fifty-Fourth Annual IEEE Symposium on Foundations of Computer Science (FOCS 2013). SIAM J. Comput. Moritz Hardt, Yuval Ishai, Raghu Meka, Virginia Vassilevska Williams
2016	A	`conf`	Strategic Classification. ITCS Moritz Hardt, Nimrod Megiddo, Christos H. Papadimitriou, Mary Wootters
2016	A*	`conf`	Train faster, generalize better: Stability of stochastic gradient descent. ICML Moritz Hardt, Ben Recht, Yoram Singer
2016	J	`jnl`	Understanding deep learning requires rethinking generalization. CoRR Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
2015	—	`conf`	Differentially Private Learning of Structured Discrete Distributions. NIPS Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt
2015	—	`conf`	Generalization in Adaptive Data Analysis and Holdout Reuse. NIPS Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth
2015	J	`jnl`	Generalization in Adaptive Data Analysis and Holdout Reuse. CoRR Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth
2015	A*	`conf`	Preserving Statistical Validity in Adaptive Data Analysis. STOC Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Leon Roth
2015	J	`jnl`	Strategic Classification. CoRR Moritz Hardt, Nimrod Megiddo, Christos H. Papadimitriou, Mary Wootters
2015	A*	`conf`	The Ladder: A Reliable Leaderboard for Machine Learning Competitions. ICML Avrim Blum, Moritz Hardt
2015	J	`jnl`	The Ladder: A Reliable Leaderboard for Machine Learning Competitions. CoRR Avrim Blum, Moritz Hardt
2015	A*	`conf`	Tight Bounds for Learning a Mixture of Two Gaussians. STOC Moritz Hardt, Eric Price
2015	J	`jnl`	Train faster, generalize better: Stability of stochastic gradient descent. CoRR Moritz Hardt, Benjamin Recht, Yoram Singer
2014	A*	`conf`	Computational Limits for Matrix Completion. COLT Moritz Hardt, Raghu Meka, Prasad Raghavendra, Benjamin Weitz
2014	J	`jnl`	Computational Limits for Matrix Completion. CoRR Moritz Hardt, Raghu Meka, Prasad Raghavendra, Benjamin Weitz
2014	A*	`conf`	Fast matrix completion without the condition number. COLT Moritz Hardt, Mary Wootters
2014	J	`jnl`	Fast matrix completion without the condition number. CoRR Moritz Hardt, Mary Wootters
2014	J	`jnl`	Preserving Statistical Validity in Adaptive Data Analysis. CoRR Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth
2014	A*	`conf`	Preventing False Discovery in Interactive Data Analysis Is Hard. FOCS Moritz Hardt, Jonathan R. Ullman
2014	J	`jnl`	Preventing False Discovery in Interactive Data Analysis is Hard. CoRR Moritz Hardt, Jonathan R. Ullman
2014	J	`jnl`	Sharp bounds for learning a mixture of two gaussians. CoRR Moritz Hardt, Eric Price
2014	—	`conf`	The Noisy Power Method: A Meta Algorithm with Applications. NIPS Moritz Hardt, Eric Price
2014	A*	`conf`	Understanding Alternating Minimization for Matrix Completion. FOCS Moritz Hardt
2013	A*	`conf`	Algorithms and Hardness for Robust Subspace Recovery. COLT Moritz Hardt, Ankur Moitra
2013	A*	`conf`	Beyond worst-case analysis in private singular vector computation. STOC Moritz Hardt, Aaron Roth
2013	A*	`conf`	How robust are linear sketches to adaptive inputs? STOC Moritz Hardt, David P. Woodruff
2013	—	`conf`	Multiple Kernel Completion and its application to cardiac disease discrimination. ISBI Ritwik Kumar, Ting Chen, Moritz Hardt, David Beymer, Karen Brannon, Tanveer Fathima Syeda-Mahmood
2013	J	`jnl`	On the Provable Convergence of Alternating Minimization for Matrix Completion. CoRR Moritz Hardt
2013	J	`jnl`	Privately Releasing Conjunctions and the Statistical Query Barrier. SIAM J. Comput. Anupam Gupta, Moritz Hardt, Aaron Roth, Jonathan R. Ullman
2013	J	`jnl`	Robust Subspace Iteration and Privacy-Preserving Spectral Analysis. CoRR Moritz Hardt
2013	—	`conf`	Robust subspace iteration and privacy-preserving spectral analysis. Allerton Moritz Hardt
2012	—	`conf`	A Simple and Practical Algorithm for Differentially Private Data Release. NIPS Moritz Hardt, Katrina Ligett, Frank McSherry
2012	A*	`conf`	Beating randomized response on incoherent matrices. STOC Moritz Hardt, Aaron Roth
2012	J	`jnl`	Beyond Worst-Case Analysis in Private Singular Vector Computation CoRR Moritz Hardt, Aaron Roth
2012	J	`jnl`	Can We Reconcile Robustness and Efficiency in Unsupervised Learning? CoRR Moritz Hardt, Ankur Moitra
2012	A	`conf`	Fairness through awareness. ITCS Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Richard S. Zemel
2012	A	`conf`	Graph densification. ITCS Moritz Hardt, Nikhil Srivastava, Madhur Tulsiani
2012	J	`jnl`	How Robust are Linear Sketches to Adaptive Inputs? CoRR Moritz Hardt, David P. Woodruff
2012	A*	`conf`	Private data release via learning thresholds. SODA Moritz Hardt, Guy N. Rothblum, Rocco A. Servedio
2011	—	`—`	A Study of Privacy and Fairness in Sensitive Data Analysis Moritz Hardt
2011	J	`jnl`	Beating Randomized Response on Incoherent Matrices CoRR Moritz Hardt, Aaron Roth
2011	J	`jnl`	Fairness Through Awareness CoRR Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Richard S. Zemel
2011	J	`jnl`	Private Data Release via Learning Thresholds CoRR Moritz Hardt, Guy N. Rothblum, Rocco A. Servedio
2011	A*	`conf`	Privately releasing conjunctions and the statistical query barrier. STOC Anupam Gupta, Moritz Hardt, Aaron Roth, Jonathan R. Ullman
2011	A*	`conf`	Subsampling Mathematical Relaxations and Average-case Complexity. SODA Boaz Barak, Moritz Hardt, Thomas Holenstein, David Steurer
2010	A*	`conf`	A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis. FOCS Moritz Hardt, Guy N. Rothblum
2010	J	`jnl`	A simple and practical algorithm for differentially private data release CoRR Moritz Hardt, Katrina Ligett, Frank McSherry
2010	A*	`conf`	On the geometry of differential privacy. STOC Moritz Hardt, Kunal Talwar
2010	J	`jnl`	Privately Releasing Conjunctions and the Statistical Query Barrier CoRR Anupam Gupta, Moritz Hardt, Aaron Roth, Jonathan R. Ullman
2009	J	`jnl`	Deterministically testing sparse polynomial identities of unbounded degree. Inf. Process. Lett. Markus Bläser, Moritz Hardt, Richard J. Lipton, Nisheeth K. Vishnoi
2009	J	`jnl`	On the Geometry of Differential Privacy CoRR Moritz Hardt, Kunal Talwar
2009	J	`jnl`	Subsampling Semidefinite Programs and Max-Cut on the Sphere CoRR Boaz Barak, Moritz Hardt, Thomas Holenstein, David Steurer
2009	J	`jnl`	Subsampling Semidefinite Programs and Max-Cut on the Sphere. Electron. Colloquium Comput. Complex. Boaz Barak, Moritz Hardt, Thomas Holenstein, David Steurer
2009	A*	`conf`	The uniform hardcore lemma via approximate Bregman projections. SODA Boaz Barak, Moritz Hardt, Satyen Kale
2008	—	`conf`	Asymptotically Optimal Hitting Sets Against Polynomials. ICALP (1) Markus Bläser, Moritz Hardt, David Steurer
2008	A*	`conf`	Rounding Parallel Repetitions of Unique Games. FOCS Boaz Barak, Moritz Hardt, Ishay Haviv, Anup Rao, Oded Regev, David Steurer
2006	—	`conf`	Higher-Order Syntax and Saturation Algorithms for Hybrid Logic. HyLo@FLoC Moritz Hardt, Gert Smolka