Zhiwei Steven Wu
According to our database^{1},
Zhiwei Steven Wu
authored at least 74 papers
between 2015 and 2021.
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Bibliography
2021
IEEE Trans. Inf. Theory, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations.
CoRR, 2021
CoRR, 2021
Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
ACM Trans. Economics and Comput., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification.
CoRR, 2020
Private Stochastic NonConvex Optimization: Adaptive Algorithms and Tighter Generalization Bounds.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Distributed Training with Heterogeneous Data: Bridging Median and MeanBased Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Conference on Learning Theory, 2020
Keeping Designers in the Loop: Communicating Inherent Algorithmic Tradeoffs Across Multiple Objectives.
Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020
2019
Theory Comput. Syst., 2019
Accuracy First: Selecting a Differential Privacy Level for AccuracyConstrained ERM.
J. Priv. Confidentiality, 2019
Designing Interfaces to Help Stakeholders Comprehend, Navigate, and Manage Algorithmic TradeOffs.
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019
2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Conference On Learning Theory, 2018
2017
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 30th Conference on Learning Theory, 2017
2016
SIAM J. Comput., 2016
Proc. Natl. Acad. Sci. USA, 2016
J. Priv. Confidentiality, 2016
Proceedings of the TwentySeventh Annual ACMSIAM Symposium on Discrete Algorithms, 2016
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016
Proceedings of the 29th Conference on Learning Theory, 2016
2015
SIGecom Exch., 2015
CoRR, 2015
Proceedings of the Web and Internet Economics  11th International Conference, 2015
Approximately Stable, School Optimal, and StudentTruthful ManytoOne Matchings (via Differential Privacy).
Proceedings of the TwentySixth Annual ACMSIAM Symposium on Discrete Algorithms, 2015
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015
Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015