Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGraham Cormode
Person information
- affiliation: Rutgers University, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c129]Michael Shekelyan, Graham Cormode, Qingzhi Ma, Ali Mohammadi Shanghooshabad, Peter Triantafillou:
Streaming Weighted Sampling over Join Queries. EDBT 2023: 298-310- [c128]Graham Cormode:
Applications of Sketching and Pathways to Impact. PODS 2023: 5-10 - [i69]Graham Cormode, Marcel Dall'Agnol, Tom Gur, Chris Hickey:
Streaming Zero-Knowledge Proofs. CoRR abs/2301.02161 (2023) - [i68]Sayan Ghosh, Karthik Prasad, Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Graham Cormode, Peter Vajda:
Pruning Compact ConvNets for Efficient Inference. CoRR abs/2301.04502 (2023) - [i67]Jonathan Hehir, Daniel Ting, Graham Cormode:
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting. CoRR abs/2302.02056 (2023) - [i66]Kuntai Cai, Xiaokui Xiao, Graham Cormode:
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. CoRR abs/2304.04545 (2023) - 2022
- [j72]Ziyue Huang, Yuan Qiu, Ke Yi, Graham Cormode:
Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming. Proc. VLDB Endow. 15(10): 2058-2070 (2022) - [j71]Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
:
Relative Error Streaming Quantiles. SIGMOD Rec. 51(1): 69-76 (2022) - [j70]Mary Scott, Graham Cormode, Carsten Maple:
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 612-627 (2022) - [c127]Graham Cormode, Akash Bharadwaj:
Sample-and-threshold differential privacy: Histograms and applications. AISTATS 2022: 1420-1431 - [c126]Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha:
Federated Boosted Decision Trees with Differential Privacy. CCS 2022: 2249-2263 - [c125]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. ICLR 2022 - [c124]Akash Bharadwaj, Graham Cormode:
An Introduction to Federated Computation. SIGMOD Conference 2022: 2448-2451 - [c123]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [i65]Michael Shekelyan, Graham Cormode, Peter Triantafillou, Ali Mohammadi Shanghooshabad, Qingzhi Ma:
Weighted Random Sampling over Joins. CoRR abs/2201.02670 (2022) - [i64]Mary Scott, Graham Cormode, Carsten Maple:
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy. CoRR abs/2201.13266 (2022) - [i63]Saeed Mahloujifar, Alexandre Sablayrolles, Graham Cormode, Somesh Jha:
Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. CoRR abs/2204.06106 (2022) - [i62]Sayan Biswas, Graham Cormode, Carsten Maple:
Impact of Sampling on Locally Differentially Private Data Collection. CoRR abs/2206.01028 (2022) - [i61]Karthik Prasad, Sayan Ghosh, Graham Cormode, Ilya Mironov, Ashkan Yousefpour, Pierre Stock:
Reconciling Security and Communication Efficiency in Federated Learning. CoRR abs/2207.12779 (2022) - [i60]Ari Biswas, Graham Cormode:
Verifiable Differential Privacy For When The Curious Become Dishonest. CoRR abs/2208.09011 (2022) - [i59]Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha:
Federated Boosted Decision Trees with Differential Privacy. CoRR abs/2210.02910 (2022) - [i58]Graham Cormode, Igor L. Markov:
Federated Calibration and Evaluation of Binary Classifiers. CoRR abs/2210.12526 (2022) - [i57]Wei-Ning Chen, Ayfer Özgür, Graham Cormode, Akash Bharadwaj:
The communication cost of security and privacy in federated frequency estimation. CoRR abs/2211.10041 (2022) - 2021
- [j69]Kook Jin Ahn, Graham Cormode, Sudipto Guha, Andrew McGregor, Anthony Wirth:
Correlation Clustering in Data Streams. Algorithmica 83(7): 1980-2017 (2021) - [j68]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j67]Graham Cormode, Pavel Veselý:
Streaming Algorithms for Bin Packing and Vector Scheduling. Theory Comput. Syst. 65(6): 916-942 (2021) - [j66]Graham Cormode, Samuel Maddock, Carsten Maple:
Frequency Estimation under Local Differential Privacy. Proc. VLDB Endow. 14(11): 2046-2058 (2021) - [j65]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
Real-World Trajectory Sharing with Local Differential Privacy. Proc. VLDB Endow. 14(11): 2283-2295 (2021) - [j64]Graham Cormode:
Technical Perspective: A Framework for Adversarially Robust Streaming Algorithms. SIGMOD Rec. 50(1): 5 (2021) - [j63]Graham Cormode:
Current Trends in Data Summaries. SIGMOD Rec. 50(4): 6-15 (2021) - [j62]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. IEEE Trans. Knowl. Data Eng. 33(2): 415-430 (2021) - [c122]Michael Shekelyan, Graham Cormode:
Sequential Random Sampling Revisited: Hidden Shuffle Method. AISTATS 2021: 3628-3636 - [c121]Mary Scott, Graham Cormode, Carsten Maple:
Applying the Shuffle Model of Differential Privacy to Vector Aggregation. BICOD 2021: 50-59 - [c120]Graham Cormode, Abhinav Mishra, Joseph Ross, Pavel Veselý:
Theory meets Practice at the Median: A Worst Case Comparison of Relative Error Quantile Algorithms. KDD 2021: 2722-2731 - [c119]Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. PODS 2021: 96-108 - [c118]Graham Cormode, Charlie Dickens, David P. Woodruff:
Subspace Exploration: Bounds on Projected Frequency Estimation. PODS 2021: 273-284 - [c117]Graham Cormode, Minos N. Garofalakis, Michael Shekelyan:
Data-Independent Space Partitionings for Summaries. PODS 2021: 285-298 - [c116]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu:
Privacy-Preserving Synthetic Location Data in the Real World. SSTD 2021: 23-33 - [i56]Graham Cormode, Charlie Dickens, David P. Woodruff:
Subspace exploration: Bounds on Projected Frequency Estimation. CoRR abs/2101.07546 (2021) - [i55]Graham Cormode, Abhinav Mishra, Joseph Ross, Pavel Veselý:
Theory meets Practice: worst case behavior of quantile algorithms. CoRR abs/2102.09299 (2021) - [i54]Graham Cormode, Samuel Maddock, Carsten Maple:
Frequency Estimation under Local Differential Privacy [Experiments, Analysis and Benchmarks]. CoRR abs/2103.16640 (2021) - [i53]Ziyue Huang, Yuan Qiu, Ke Yi, Graham Cormode:
Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming. CoRR abs/2104.01808 (2021) - [i52]Graham Cormode, Igor L. Markov:
Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics. CoRR abs/2108.01521 (2021) - [i51]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu, Divesh Srivastava:
Real-World Trajectory Sharing with Local Differential Privacy. CoRR abs/2108.02084 (2021) - [i50]Teddy Cunningham, Graham Cormode, Hakan Ferhatosmanoglu:
Privacy-Preserving Synthetic Location Data in the Real World. CoRR abs/2108.02089 (2021) - [i49]Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov:
Opacus: User-Friendly Differential Privacy Library in PyTorch. CoRR abs/2109.12298 (2021) - [i48]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. CoRR abs/2111.08440 (2021) - [i47]Mary Scott, Graham Cormode, Carsten Maple:
Applying the Shuffle Model of Differential Privacy to Vector Aggregation. CoRR abs/2112.05464 (2021) - [i46]Akash Bharadwaj, Graham Cormode:
Sample and Threshold Differential Privacy: Histograms and applications. CoRR abs/2112.05693 (2021) - 2020
- [c115]Graham Cormode, Pavel Veselý:
A Tight Lower Bound for Comparison-Based Quantile Summaries. PODS 2020: 81-93 - [i45]Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. CoRR abs/2004.01668 (2020)
2010 – 2019
- 2019
- [j61]Graham Cormode:
Technical perspective: The true cost of popularity. Commun. ACM 62(8): 94 (2019) - [j60]Graham Cormode, Hossein Jowhari:
Lp Samplers and Their Applications: A Survey. ACM Comput. Surv. 52(1): 16:1-16:31 (2019) - [j59]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. Proc. VLDB Endow. 12(10): 1126-1138 (2019) - [j58]Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian:
Verifiable Stream Computation and Arthur-Merlin Communication. SIAM J. Comput. 48(4): 1265-1299 (2019) - [j57]Graham Cormode:
Technical Perspective: #8712;KTELO. SIGMOD Rec. 48(1): 14 (2019) - [c114]Graham Cormode, Jacques Dark, Christian Konrad:
Independent Sets in Vertex-Arrival Streams. ICALP 2019: 45:1-45:14 - [c113]Graham Cormode, Chris Hickey:
Efficient Interactive Proofs for Linear Algebra. ISAAC 2019: 48:1-48:19 - [c112]Rajesh Chitnis, Graham Cormode:
Towards a Theory of Parameterized Streaming Algorithms. IPEC 2019: 7:1-7:15 - [c111]Graham Cormode, Pavel Veselý:
Streaming Algorithms for Bin Packing and Vector Scheduling. WAOA 2019: 72-88 - [i44]Graham Cormode, Pavel Veselý:
Tight Lower Bound for Comparison-Based Quantile Summaries. CoRR abs/1905.03838 (2019) - [i43]Graham Cormode, Pavel Veselý:
Streaming Algorithms for Bin Packing and Vector Scheduling. CoRR abs/1905.04897 (2019) - [i42]Graham Cormode, Charlie Dickens:
Iterative Hessian Sketch in Input Sparsity Time. CoRR abs/1910.14166 (2019) - [i41]Rajesh Chitnis, Graham Cormode:
Towards a Theory of Parameterized Streaming Algorithms. CoRR abs/1911.09650 (2019) - [i40]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - 2018
- [c110]Chris Hickey, Graham Cormode:
Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams. AISTATS 2018: 1318-1326 - [c109]Yu Zhang, Srikanta Tirthapura, Graham Cormode:
Learning Graphical Models from a Distributed Stream. ICDE 2018: 725-736 - [c108]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Private Mechanisms for Count Data. ICDE 2018: 845-856 - [c107]Graham Cormode, Chris Hickey:
You Can Check Others' Work More Quickly Than Doing It Yourself. ICDE 2018: 1681 - [c106]Graham Cormode, Jacques Dark:
Fast Sketch-based Recovery of Correlation Outliers. ICDT 2018: 13:1-13:18 - [c105]Graham Cormode, Charlie Dickens, David P. Woodruff:
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms. ICML 2018: 1048-1056 - [c104]Graham Cormode, Jacques Dark, Christian Konrad:
Approximating the Caro-Wei Bound for Independent Sets in Graph Streams. ISCO 2018: 101-114 - [c103]Graham Cormode:
Data Summarization and Distributed Computation. PODC 2018: 167-168 - [c102]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Marginal Release Under Local Differential Privacy. SIGMOD Conference 2018: 131-146 - [c101]Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang:
Privacy at Scale: Local Differential Privacy in Practice. SIGMOD Conference 2018: 1655-1658 - [r5]Graham Cormode:
Count-Min Sketch. Encyclopedia of Database Systems (2nd ed.) 2018 - [i39]Graham Cormode, Charlie Dickens, David P. Woodruff:
Leveraging Well-Conditioned Bases: Streaming \& Distributed Summaries in Minkowski p-Norms. CoRR abs/1807.02571 (2018) - [i38]Graham Cormode, Jacques Dark, Christian Konrad:
Independent Sets in Vertex-Arrival Streams. CoRR abs/1807.08331 (2018) - [i37]Kook Jin Ahn, Graham Cormode, Sudipto Guha, Andrew McGregor, Anthony Wirth:
Correlation Clustering in Data Streams. CoRR abs/1812.02023 (2018) - [i36]Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Answering Range Queries Under Local Differential Privacy. CoRR abs/1812.10942 (2018) - 2017
- [j56]Graham Cormode:
Data sketching. Commun. ACM 60(9): 48-55 (2017) - [j55]Graham Cormode:
Data Sketching. ACM Queue 15(2): 60 (2017) - [j54]Graham Cormode, Hossein Jowhari:
A second look at counting triangles in graph streams (corrected). Theor. Comput. Sci. 683: 22-30 (2017) - [j53]Graham Cormode, Hossein Jowhari:
Corrigendum to "A second look at counting triangles in graph streams" [Theoret. Comput. Sci. 552 (2014) 44-51]. Theor. Comput. Sci. 683: 31-32 (2017) - [j52]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
PrivBayes: Private Data Release via Bayesian Networks. ACM Trans. Database Syst. 42(4): 25:1-25:41 (2017) - [c100]Graham Cormode, Hossein Jowhari, Morteza Monemizadeh, S. Muthukrishnan:
The Sparse Awakens: Streaming Algorithms for Matching Size Estimation in Sparse Graphs. ESA 2017: 29:1-29:15 - [c99]Graham Cormode:
Engineering Streaming Algorithms. SEA 2017: 3:1-3:1 - [i35]Graham Cormode, Jacques Dark, Christian Konrad:
Independent Set Size Approximation in Graph Streams. CoRR abs/1702.08299 (2017) - [i34]Graham Cormode, Tejas Kulkarni, Divesh Srivastava:
Constrained Differential Privacy for Count Data. CoRR abs/1710.00608 (2017) - [i33]Graham Cormode, Jacques Dark:
Fast Sketch-based Recovery of Correlation Outliers. CoRR abs/1710.01985 (2017) - [i32]Yu Zhang, Srikanta Tirthapura, Graham Cormode:
Learning Graphical Models from a Distributed Stream. CoRR abs/1710.02103 (2017) - [i31]Tejas Kulkarni, Graham Cormode, Divesh Srivastava:
Marginal Release Under Local Differential Privacy. CoRR abs/1711.02952 (2017) - 2016
- [j51]Edith Cohen, Graham Cormode, Nick G. Duffield, Carsten Lund:
On the Tradeoff between Stability and Fit. ACM Trans. Algorithms 13(1): 7:1-7:24 (2016) - [j50]Amit Chakrabarti, Graham Cormode, Andrew McGregor:
Robust Lower Bounds for Communication and Stream Computation. Theory Comput. 12(1): 1-35 (2016) - [j49]Ge Luo, Lu Wang, Ke Yi, Graham Cormode:
Quantiles over data streams: experimental comparisons, new analyses, and further improvements. VLDB J. 25(4): 449-472 (2016) - [c98]Zach Jorgensen, Ting Yu, Graham Cormode:
Publishing Attributed Social Graphs with Formal Privacy Guarantees. SIGMOD Conference 2016: 107-122 - [c97]Rajesh Chitnis, Graham Cormode, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Andrew McGregor, Morteza Monemizadeh, Sofya Vorotnikova:
Kernelization via Sampling with Applications to Finding Matchings and Related Problems in Dynamic Graph Streams. SODA 2016: 1326-1344 - [p3]Graham Cormode, Minos N. Garofalakis:
Join Sizes, Frequency Moments, and Applications. Data Stream Management 2016: 87-102 - [p2]Graham Cormode, Piotr Indyk:
Stable Distributions in Streaming Computations. Data Stream Management 2016: 283-300 - [r4]Graham Cormode:
AMS Sketch. Encyclopedia of Algorithms 2016: 76-78 - [r3]Graham Cormode:
Count-Min Sketch. Encyclopedia of Algorithms 2016: 464-468 - [r2]Graham Cormode:
Misra-Gries Summaries. Encyclopedia of Algorithms 2016: 1334-1337 - [i30]Graham Cormode, Hossein Jowhari, Morteza Monemizadeh, S. Muthukrishnan:
The Sparse Awakens: Streaming Algorithms for Matching Size Estimation in Sparse Graphs. CoRR abs/1608.03118 (2016) - 2015
- [j48]Xi He, Graham Cormode, Ashwin Machanavajjhala, Cecilia M. Procopiuc, Divesh Srivastava:
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems. Proc. VLDB Endow. 8(11): 1154-1165 (2015) - [j47]Katsiaryna Mirylenka, Graham Cormode, Themis Palpanas, Divesh Srivastava:
Conditional heavy hitters: detecting interesting correlations in data streams. VLDB J. 24(3): 395-414 (2015) - [c96]Graham Cormode:
Streaming Methods in Data Analysis. BICOD 2015: 3-6 - [c95]Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian:
Verifiable Stream Computation and Arthur-Merlin Communication. CCC 2015: 217-243 - [c94]Zach Jorgensen, Ting Yu, Graham Cormode:
Conservative or liberal? Personalized differential privacy. ICDE 2015: 1023-1034 - [c93]Graham Cormode:
The Confounding Problem of Private Data Release (Invited Talk). ICDT 2015: 1-12 - [c92]Kook Jin Ahn, Graham Cormode, Sudipto Guha, Andrew McGregor, Anthony Wirth:
Correlation Clustering in Data Streams. ICML 2015: 2237-2246 - [c91]Graham Cormode:
Compact Summaries over Large Datasets. PODS 2015: 157-158 - [c90]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
Private Release of Graph Statistics using Ladder Functions. SIGMOD Conference 2015: 731-745 - [c89]Rajesh Hemant Chitnis, Graham Cormode, Mohammad Taghi Hajiaghayi, Morteza Monemizadeh:
Parameterized Streaming: Maximal Matching and Vertex Cover. SODA 2015: 1234-1251 - [c88]Rajesh Hemant Chitnis, Graham Cormode, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Morteza Monemizadeh:
Brief Announcement: New Streaming Algorithms for Parameterized Maximal Matching & Beyond. SPAA 2015: 56-58 - [i29]Rajesh Hemant Chitnis, Graham Cormode, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Andrew McGregor, Morteza Monemizadeh, Sofya Vorotnikova:
Kernelization via Sampling with Applications to Dynamic Graph Streams. CoRR abs/1505.01731 (2015) - 2014
- [j46]Graham Cormode, Donatella Firmani:
A unifying framework for ℓ 0-sampling algorithms. Distributed Parallel Databases 32(3): 315-335 (2014) - [j45]Graham Cormode:
Front Matter. Proc. VLDB Endow. 7(6): i-ix (2014) - [j44]Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler:
Annotations in Data Streams. ACM Trans. Algorithms 11(1): 7:1-7:30 (2014) - [j43]Graham Cormode, Hossein Jowhari:
A second look at counting triangles in graph streams. Theor. Comput. Sci. 552: 44-51 (2014) - [j42]Stavros Papadopoulos, Graham Cormode, Antonios Deligiannakis, Minos N. Garofalakis:
Lightweight Query Authentication on Streams. ACM Trans. Database Syst. 39(4): 30:1-30:45 (2014) - [c87]Graham Cormode, Nick G. Duffield:
Sampling for big data: a tutorial. KDD 2014: 1975 - [c86]Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao:
PrivBayes: private data release via bayesian networks. SIGMOD Conference 2014: 1423-1434 - [c85]Amit Chakrabarti, Graham Cormode, Navin Goyal, Justin Thaler:
Annotations for Sparse Data Streams. SODA 2014: 687-706 - [c84]