# Moritz Hardt

According to our database

Collaborative distances:

^{1}, Moritz Hardt authored at least 40 papers between 2007 and 2018.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Gradient Descent Learns Linear Dynamical Systems.

Journal of Machine Learning Research, 2018

Sanity Checks for Saliency Maps.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Delayed Impact of Fair Machine Learning.

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Guilt-free data reuse.

Commun. ACM, 2017

Avoiding Discrimination through Causal Reasoning.

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Private Spectral Analysis.

Encyclopedia of Algorithms, 2016

Special Section on the Fifty-Fourth Annual IEEE Symposium on Foundations of Computer Science (FOCS 2013).

SIAM J. Comput., 2016

Equality of Opportunity in Supervised Learning.

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Strategic Classification.

Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016

Train faster, generalize better: Stability of stochastic gradient descent.

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Tight Bounds for Learning a Mixture of Two Gaussians.

Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Preserving Statistical Validity in Adaptive Data Analysis.

Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Generalization in Adaptive Data Analysis and Holdout Reuse.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Differentially Private Learning of Structured Discrete Distributions.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

The Ladder: A Reliable Leaderboard for Machine Learning Competitions.

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

The Noisy Power Method: A Meta Algorithm with Applications.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Preventing False Discovery in Interactive Data Analysis Is Hard.

Proceedings of the 55th IEEE Annual Symposium on Foundations of Computer Science, 2014

Understanding Alternating Minimization for Matrix Completion.

Proceedings of the 55th IEEE Annual Symposium on Foundations of Computer Science, 2014

Fast matrix completion without the condition number.

Proceedings of The 27th Conference on Learning Theory, 2014

Computational Limits for Matrix Completion.

Proceedings of The 27th Conference on Learning Theory, 2014

2013

How robust are linear sketches to adaptive inputs?

Proceedings of the Symposium on Theory of Computing Conference, 2013

Beyond worst-case analysis in private singular vector computation.

Proceedings of the Symposium on Theory of Computing Conference, 2013

Multiple Kernel Completion and its application to cardiac disease discrimination.

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Algorithms and Hardness for Robust Subspace Recovery.

Proceedings of the COLT 2013, 2013

Robust subspace iteration and privacy-preserving spectral analysis.

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Beating randomized response on incoherent matrices.

Proceedings of the 44th Symposium on Theory of Computing Conference, 2012

Private data release via learning thresholds.

Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

A Simple and Practical Algorithm for Differentially Private Data Release.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Graph densification.

Proceedings of the Innovations in Theoretical Computer Science 2012, 2012

Fairness through awareness.

Proceedings of the Innovations in Theoretical Computer Science 2012, 2012

2011

Privately releasing conjunctions and the statistical query barrier.

Proceedings of the 43rd ACM Symposium on Theory of Computing, 2011

Subsampling Mathematical Relaxations and Average-case Complexity.

Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

2010

On the geometry of differential privacy.

Proceedings of the 42nd ACM Symposium on Theory of Computing, 2010

A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis.

Proceedings of the 51th Annual IEEE Symposium on Foundations of Computer Science, 2010

2009

Deterministically testing sparse polynomial identities of unbounded degree.

Inf. Process. Lett., 2009

Subsampling Semidefinite Programs and Max-Cut on the Sphere.

Electronic Colloquium on Computational Complexity (ECCC), 2009

The uniform hardcore lemma via approximate Bregman projections.

Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2009

2008

Asymptotically Optimal Hitting Sets Against Polynomials.

Proceedings of the Automata, Languages and Programming, 35th International Colloquium, 2008

Rounding Parallel Repetitions of Unique Games.

Proceedings of the 49th Annual IEEE Symposium on Foundations of Computer Science, 2008

2007

Higher-Order Syntax and Saturation Algorithms for Hybrid Logic.

Electr. Notes Theor. Comput. Sci., 2007