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Charlie Dickens
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Books and Theses
- 2021
- [b1]Charlie Dickens:
On the efficiency of finding and using tabular data summaries: scalability, accuracy, and hardness. University of Warwick, Coventry, UK, 2021
Conference and Workshop Papers
- 2023
- [c4]Charlie Dickens, Eric Bax:
Matching Noisy Keys for Obfuscation. IEEE Big Data 2023: 5485-5492 - 2022
- [c3]Charlie Dickens, Justin Thaler, Daniel Ting:
Order-Invariant Cardinality Estimators Are Differentially Private. NeurIPS 2022 - 2021
- [c2]Graham Cormode, Charlie Dickens, David P. Woodruff:
Subspace Exploration: Bounds on Projected Frequency Estimation. PODS 2021: 273-284 - 2018
- [c1]Graham Cormode, Charlie Dickens, David P. Woodruff:
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms. ICML 2018: 1048-1056
Informal and Other Publications
- 2024
- [i9]Charlie Dickens, Eric Bax, Alexander Saydakov:
Key Compression Limits for k-Minimum Value Sketches. CoRR abs/2409.02852 (2024) - 2023
- [i8]Charlie Dickens, Eric Bax:
Matching Noisy Keys for Obfuscation. CoRR abs/2312.08981 (2023) - 2022
- [i7]Charlie Dickens, Justin Thaler, Daniel Ting:
(Nearly) All Cardinality Estimators Are Differentially Private. CoRR abs/2203.15400 (2022) - 2021
- [i6]Graham Cormode, Charlie Dickens, David P. Woodruff:
Subspace exploration: Bounds on Projected Frequency Estimation. CoRR abs/2101.07546 (2021) - 2020
- [i5]Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas C. Damianou:
Similarity of Neural Networks with Gradients. CoRR abs/2003.11498 (2020) - [i4]Charlie Dickens, Eric Meissner, Pablo G. Moreno, Tom Diethe:
Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams. CoRR abs/2008.01505 (2020) - [i3]Charlie Dickens:
Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives. CoRR abs/2011.03607 (2020) - 2019
- [i2]Graham Cormode, Charlie Dickens:
Iterative Hessian Sketch in Input Sparsity Time. CoRR abs/1910.14166 (2019) - 2018
- [i1]Graham Cormode, Charlie Dickens, David P. Woodruff:
Leveraging Well-Conditioned Bases: Streaming \& Distributed Summaries in Minkowski p-Norms. CoRR abs/1807.02571 (2018)
Coauthor Index
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