Xiao Zhang

Affiliations:
  • University of Virginia, Department of Computer Science, Charlottesville, VA, USA


According to our database1, Xiao Zhang authored at least 12 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks?
CoRR, 2023

2020
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cost-Sensitive Robustness against Adversarial Examples.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning One-hidden-layer ReLU Networks via Gradient Descent.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery.
Proceedings of the 35th International Conference on Machine Learning, 2018

Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption.
CoRR, 2017

A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017


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