| Similarity of Neural Networks with Gradients S Tang, WJ Maddox, C Dickens, T Diethe, A Damianou arXiv preprint arXiv:2003.11498, 2020 | 18 | 2020 |
| Leveraging well-conditioned bases: Streaming and distributed summaries in minkowski p-norms G Cormode, C Dickens, D Woodruff International Conference on Machine Learning, 1048-1056, 2018 | 12 | 2018 |
| Order-Invariant Cardinality Estimators Are Differentially Private C Dickens, J Thaler, D Ting Advances in Neural Information Processing Systems 35, 15204-15216, 2022 | 10 | 2022 |
| Iterative Hessian Sketch in Input Sparsity Time G Cormode, C Dickens arXiv preprint arXiv:1910.14166, 2019 | 5 | 2019 |
| Interpretable Anomaly Detection with Mondrian P {\'o} lya Forests on Data Streams C Dickens, E Meissner, PG Moreno, T Diethe arXiv preprint arXiv:2008.01505, 2020 | 4 | 2020 |
| (Nearly) All Cardinality Estimators Are Differentially Private. C Dickens, J Thaler, D Ting CoRR, 2022 | 1 | 2022 |
| Subspace Exploration: Bounds on Projected Frequency Estimation G Cormode, C Dickens, DP Woodruff Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2021 | 1 | 2021 |
| Matching Noisy Keys for Obfuscation C Dickens, E Bax 2023 IEEE International Conference on Big Data (BigData), 5485-5492, 2023 | | 2023 |
| On the Efficiency of Finding and Using Tabular Data Summaries: Scalability, Accuracy, and Hardness C Dickens University of Warwick, 2021 | | 2021 |
| Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives C Dickens arXiv preprint arXiv:2011.03607, 2020 | | 2020 |
| Similarity of Neural Networks with Gradients Download PDF S Tang, WJ Maddox, C Dickens, T Diethe, A Damianou | | |
| Deterministic Distributed and Streaming Algorithms for Linear Algebra Problems G Cormode, C Dickens, DP Woodruff | | |
