Charlie Dickens

15 papers A* 3B 2Journal 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Key Compression Limits for
CoRR
Charlie Dickens, Eric Bax, Alexander Saydakov
2024 B conf
Key Compression Limits for k-Minimum Value Sketches.
IEEE Big Data
Charlie Dickens, Eric Bax, Alexander Saydakov
2023 B conf
Matching Noisy Keys for Obfuscation.
IEEE Big Data
Charlie Dickens, Eric Bax
2023 J jnl
Matching Noisy Keys for Obfuscation.
CoRR
Charlie Dickens, Eric Bax
2022 J jnl
(Nearly) All Cardinality Estimators Are Differentially Private.
CoRR
Charlie Dickens, Justin Thaler, Daniel Ting
2022 A* conf
Order-Invariant Cardinality Estimators Are Differentially Private.
NeurIPS
Charlie Dickens, Justin Thaler, Daniel Ting
2021 — —
On the efficiency of finding and using tabular data summaries: scalability, accuracy, and hardness.
Charlie Dickens
2021 A* conf
Subspace Exploration: Bounds on Projected Frequency Estimation.
PODS
Graham Cormode, Charlie Dickens, David P. Woodruff
2021 J jnl
Subspace exploration: Bounds on Projected Frequency Estimation.
CoRR
Graham Cormode, Charlie Dickens, David P. Woodruff
2020 J jnl
Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams.
CoRR
Charlie Dickens, Eric Meissner, Pablo G. Moreno, Tom Diethe
2020 J jnl
Ridge Regression with Frequent Directions: Statistical and Optimization Perspectives.
CoRR
Charlie Dickens
2020 J jnl
Similarity of Neural Networks with Gradients.
CoRR
Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas C. Damianou
2019 J jnl
Iterative Hessian Sketch in Input Sparsity Time.
CoRR
Graham Cormode, Charlie Dickens
2018 J jnl
Leveraging Well-Conditioned Bases: Streaming \& Distributed Summaries in Minkowski p-Norms.
CoRR
Graham Cormode, Charlie Dickens, David P. Woodruff
2018 A* conf
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms.
ICML
Graham Cormode, Charlie Dickens, David P. Woodruff