Daniel Ting

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Topics

Manifold Learning

Cardinality Estimation

Top Venues

SIGMOD Conference

IEEE Commun. Lett.

Publications

Peihan Li, Vishnu Menon, Bhavanaraj Gudiguntla, Daniel Ting, Lifeng Zhou
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking. CoRR (2024)
Jonathan Hehir, Daniel Ting, Graham Cormode
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting. CoRR (2023)
Jonathan Hehir, Daniel Ting, Graham Cormode
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting. ICML (2023)
Justin Talbot, Daniel Ting
Statistical Schema Learning with Occam's Razor. SIGMOD Conference (2022)
Charlie Dickens, Justin Thaler, Daniel Ting
Order-Invariant Cardinality Estimators Are Differentially Private. NeurIPS (2022)
Charlie Dickens, Justin Thaler, Daniel Ting
(Nearly) All Cardinality Estimators Are Differentially Private. CoRR (2022)
Pedro Reviriego, Daniel Ting
Breaking Cuckoo Hash: Black Box Attacks. IEEE Trans. Dependable Secur. Comput. 19 (4) (2022)
Daniel Ting
Adaptive Threshold Sampling. SIGMOD Conference (2022)
Valerio Bruschi, Pedro Reviriego, Salvatore Pontarelli, Daniel Ting, Giuseppe Bianchi
More Accurate Streaming Cardinality Estimation With Vectorized Counters. IEEE Netw. Lett. 3 (2) (2021)
Daniel Ting, Rick Cole
Conditional Cuckoo Filters. SIGMOD Conference (2021)
Daniel Ting
Simple, Optimal Algorithms for Random Sampling Without Replacement. CoRR (2021)
Daniel Ting, Michael I. Jordan
Manifold Learning via Manifold Deflation. CoRR (2020)
Daniel Ting, Rick Cole
Conditional Cuckoo Filters. CoRR (2020)
Pedro Reviriego, Pablo Adell, Daniel Ting
HyperLogLog (HLL) Security: Inflating Cardinality Estimates. CoRR (2020)
Daniel Ting, Jonathan Malkin, Lee Rhodes
Data Sketching for Real Time Analytics: Theory and Practice. KDD (2020)
Pedro Reviriego, Valerio Bruschi, Salvatore Pontarelli, Daniel Ting, Giuseppe Bianchi
Fast Updates for Line-Rate HyperLogLog-Based Cardinality Estimation. IEEE Commun. Lett. 24 (12) (2020)
Pedro Reviriego, Daniel Ting
Security of HyperLogLog (HLL) Cardinality Estimation: Vulnerabilities and Protection. CoRR (2020)
Pedro Reviriego, Daniel Ting
Security of HyperLogLog (HLL) Cardinality Estimation: Vulnerabilities and Protection. IEEE Commun. Lett. 24 (5) (2020)
Liqi Xu, Richard L. Cole, Daniel Ting
Learning to optimize federated queries. aiDM@SIGMOD (2019)
Daniel Ting
Approximate Distinct Counts for Billions of Datasets. SIGMOD Conference (2019)
Daniel Ting, Eric Brochu
Optimal Subsampling with Influence Functions. NeurIPS (2018)
Daniel Ting
Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions. KDD (2018)
Daniel Ting
Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation. SIGMOD Conference (2018)
Daniel Ting
Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions. CoRR (2018)
Daniel Ting
Data Sketches for Disaggregated Subset Sum and Frequent Item Estimation. CoRR (2017)
Daniel Ting, Eric Brochu
Optimal Sub-sampling with Influence Functions. CoRR (2017)
Daniel Ting
Adaptive Threshold Sampling and Estimation. CoRR (2017)
Daniel Ting
Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches. KDD (2016)
Daniel Ting
Streamed approximate counting of distinct elements: beating optimal batch methods. KDD (2014)
John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting
Mixture models of endhost network traffic. INFOCOM (2013)
Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting
Online Semi-Supervised Learning on Quantized Graphs CoRR (2012)
John Mark Agosta, Jaideep Chandrashekar, Mark Crovella, Nina Taft, Daniel Ting
Mixture Models of Endhost Network Traffic CoRR (2012)
Daniel Ting, Guoli Wang, Maxim V. Shapovalov, Rajib Mitra, Michael I. Jordan, Roland L. Dunbrack Jr.
Neighbor-Dependent Ramachandran Probability Distributions of Amino Acids Developed from a Hierarchical Dirichlet Process Model. PLoS Comput. Biol. 6 (4) (2010)
Daniel Ting, Ling Huang, Michael I. Jordan
An Analysis of the Convergence of Graph Laplacians. ICML (2010)
Michal Valko, Branislav Kveton, Ling Huang, Daniel Ting
Online Semi-Supervised Learning on Quantized Graphs. UAI (2010)
Daniel Ting, Stephen E. Fienberg, Mario Trottini
Random orthogonal matrix masking methodology for microdata release. Int. J. Inf. Comput. Secur. 2 (1) (2008)