220 entries « 1 of 5 »

2021

Anna Fariha, Ashish Tiwari, Alexandra Meliou, Arjun Radhakrishna, Sumit Gulwani

CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning Inproceedings Forthcoming

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), Forthcoming.

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Anna Fariha, Ashish Tiwari, Alexandra Meliou, Arjun Radhakrishna, Sumit Gulwani

Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems Inproceedings Forthcoming

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), Forthcoming.

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Zafeiria Moumoulidou, Andrew McGregor, Alexandra Meliou

Diverse Data Selection under Fairness Constraints Inproceedings Forthcoming

International Conference on Database Theory, (ICDT), pp. 11:1–11:25, Forthcoming.

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2020

Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

ϵKTELO: A Framework for Defining Differentially Private Computations Journal Article

ACM Trans. Database Syst., 45 (1), pp. 2:1–2:44, 2020.

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David Pujol, Ryan McKenna, Satya Kuppam, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

Fair decision making using privacy-protected data Inproceedings

FAT* '20: Conference on Fairness, Accountability, and Transparency, Barcelona, Spain, January 27-30, 2020, pp. 189–199, 2020.

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Matteo Brucato, Nishant Yadav, Azza Abouzied, Peter J Haas, Alexandra Meliou

Stochastic Package Queries in Probabilistic Databases Inproceedings

Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pp. 269–283, 2020.

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Anna Fariha, Suman Nath, Alexandra Meliou

Causality-Guided Adaptive Interventional Debugging Inproceedings

Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pp. 431–446, 2020.

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Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani

ExTuNe: Explaining Tuple Non-conformance Inproceedings

Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pp. 2741–2744, 2020.

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Cibele Freire, Wolfgang Gatterbauer, Neil Immerman, Alexandra Meliou

New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins Inproceedings

Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2020, Portland, OR, USA, June 14-19, 2020, pp. 271–284, 2020.

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Xiaowei Zhu, Marco Serafini, Xiaosong Ma, Ashraf Aboulnaga, Wenguang Chen, Guanyu Feng

LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans Journal Article

Proc. VLDB Endow., 13 (7), pp. 1020–1034, 2020.

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Xiangyao Yu, Matt Youill, Matthew E Woicik, Abdurrahman Ghanem, Marco Serafini, Ashraf Aboulnaga, Michael Stonebraker

PushdownDB: Accelerating a DBMS Using S3 Computation Inproceedings

36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020, pp. 1802–1805, 2020.

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Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Ç, Wang -

Sato: Contextual Semantic Type Detection in Tables Journal Article

Proc. VLDB Endow., 13 (11), pp. 1835–1848, 2020.

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Anna Fariha, Matteo Brucato, Peter J Haas, Alexandra Meliou

SuDocu: Summarizing Documents by Example Journal Article

Proc. VLDB Endow., 13 (12), pp. 2861–2864, 2020.

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Matteo Brucato, Miro Mannino, Azza Abouzied, Peter J Haas, Alexandra Meliou

sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization Journal Article

Proc. VLDB Endow., 13 (12), pp. 2881–2884, 2020.

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Muhammad Bilal, Marco Serafini, Marco Canini, Rodrigo Rodrigues

Do the Best Cloud Configurations Grow on Trees? An Experimental Evaluation of Black Box Algorithms for Optimizing Cloud Workloads Sub Journal Article

Proc. VLDB Endow., 13 (11), pp. 2563–2575, 2020.

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2019

Junjay Tan, Thanaa Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska

Choosing A Cloud DBMS: Architectures and Tradeoffs Journal Article

Proceedings of the VLDB Endowment, 12 (12), 2019.

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Anna Fariha, Alexandra Meliou

Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity Journal Article

PVLDB, 12 (11), pp. 1262–1275, 2019.

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Xiaolan Wang, Xin Luna Dong, Yang Li, Alexandra Meliou

MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps Inproceedings

35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019, pp. 578–589, 2019.

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Xiaolan Wang, Alexandra Meliou

Explain3D: Explaining Disagreements in Disjoint Datasets Journal Article

PVLDB, 12 (7), pp. 779–792, 2019.

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Ryan Mckenna, Daniel Sheldon, Gerome Miklau

Graphical-model based estimation and inference for differential privacy Inproceedings

International Conference on Machine Learning, pp. 4435–4444, 2019.

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Matteo Brucato, Azza Abouzied, Alexandra Meliou

Scalable computation of high-order optimization queries Journal Article

Commun. ACM, 62 (2), pp. 108–116, 2019.

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Ahmed Elgohary, Matthias Boehm, Peter J Haas, Frederick R Reiss, Berthold Reinwald

Compressed linear algebra for declarative large-scale machine learning Journal Article

Commun. ACM, 62 (5), pp. 83–91, 2019.

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Yanlei Diao, Pawel Guzewicz, Ioana Manolescu, Mirjana Mazuran

Spade: A Modular Framework for Analytical Exploration of RDF Graphs Journal Article

PVLDB, 12 (12), pp. 1926–1929, 2019.

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Khaled Zaouk, Fei Song, Chenghao Lyu, Arnab Sinha, Yanlei Diao, Prashant J Shenoy

UDAO: A Next-Generation Unified Data Analytics Optimizer Journal Article

PVLDB, 12 (12), pp. 1934–1937, 2019.

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Brian Hentschel, Peter J Haas, Yuanyuan Tian

Online Model Management via Temporally Biased Sampling Journal Article

SIGMOD Record, 48 (1), pp. 69–76, 2019.

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Johanna Sommer, Matthias Boehm, Alexandre V Evfimievski, Berthold Reinwald, Peter J Haas

MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions Inproceedings

Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019, pp. 1607–1623, 2019.

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Zhiqi Huang, Ryan McKenna, George Bissias, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala

PSynDB: Accurate and Accessible Private Data Generation Journal Article

PVLDB, 12 (12), pp. 1918–1921, 2019.

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Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau

PrivateSQL: A Differentially Private SQL Query Engine Journal Article

PVLDB, 12 (11), pp. 1371–1384, 2019.

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Dan Zhang, Ryan McKenna, Ios Kotsogiannis, George Bissias, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

#8712;: A Framework for Defining Differentially-Private Computations Journal Article

SIGMOD Record, 48 (1), pp. 15–22, 2019.

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Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay

Architecting a Differentially Private SQL Engine Inproceedings

CIDR 2019, 9th Biennial Conference on Innovative Data Systems Research, Asilomar, CA, USA, January 13-16, 2019, Online Proceedings, 2019.

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Ryan McKenna, Daniel Sheldon, Gerome Miklau

Graphical-model based estimation and inference for differential privacy Inproceedings

Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, pp. 4435–4444, 2019.

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Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H V Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das

MithraRanking: A System for Responsible Ranking Design Inproceedings

Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019, pp. 1913–1916, 2019.

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Brian Hentschel, Peter J Haas, Yuanyuan Tian

General Temporally Biased Sampling Schemes for Online Model Management Journal Article

ACM Trans. Database Syst., 44 (4), pp. 14:1–14:45, 2019.

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Emily A Herbert, Wang Cen, Peter J Haas

NIM: generative neural networks for modeling and generation of simulation inputs Inproceedings

Proceedings of the 2019 Summer Simulation Conference, SummerSim 2019, Berlin, Germany, July 22-24, 2019, pp. 65:1–65:6, 2019.

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2018

Rico Angell, Brittany Johnson, Yuriy Brun, Alexandra Meliou

Themis: Automatically Testing Software for Discrimination Inproceedings

Proceedings of the Demonstrations Track at the The 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Lake Buena Vista, FL, USA, 2018, (demonstration paper).

Abstract | Links | BibTeX

Yuriy Brun, Alexandra Meliou

Software Fairness Inproceedings

Proceedings of the New Ideas and Emerging Results Track at the 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Lake Buena Vista, FL, USA, 2018.

Abstract | Links | BibTeX

Brian Hentschel, Peter J Haas, Yuanyuan Tian

Temporally-Biased Sampling for Online Model Management Inproceedings

Proceedings of the 21th International Conference on Extending Database Technology, EDBT 2018, Vienna, Austria, March 26-29, 2018., pp. 109–120, 2018.

Abstract | Links | BibTeX

Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala

Optimizing error of high-dimensional statistical queries under differential privacy Journal Article

PVLDB, 11 (10), pp. 1206–1219, 2018.

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Enhui Huang, Liping Peng, Luciano Di Palma, Ahmed Abdelkafi, Anna Liu, Yanlei Diao

Optimization for active learning-based interactive database exploration Journal Article

Proceedings of the VLDB Endowment, 12 (1), pp. 71–84, 2018.

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Abolfazl Asudeh, H V Jagadish, Gerome Miklau, Julia Stoyanovich

On Obtaining Stable Rankings Journal Article

PVLDB, 12 (3), pp. 237–250, 2018.

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Julia Stoyanovich, Bill Howe, H V Jagadish, Gerome Miklau

Panel: A Debate on Data and Algorithmic Ethics Journal Article

PVLDB, 11 (12), pp. 2165–2167, 2018.

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Sameera Ghayyur, Yan Chen, Roberto Yus, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, Sharad Mehrotra

IoT-Detective: Analyzing IoT Data Under Differential Privacy Inproceedings

Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference 2018, Houston, TX, USA, June 10-15, 2018, pp. 1725–1728, 2018.

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Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H V Jagadish, Gerome Miklau

A Nutritional Label for Rankings Inproceedings

Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference 2018, Houston, TX, USA, June 10-15, 2018, pp. 1773–1776, 2018.

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Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau

EKTELO: A Framework for Defining Differentially-Private Computations Inproceedings

Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference 2018, Houston, TX, USA, June 10-15, 2018, pp. 115–130, 2018.

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Brian Neil Levine, Gerome Miklau

Auditing and Forensic Analysis Incollection

Encyclopedia of Database Systems, Second Edition, 2018.

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Matteo Brucato, Azza Abouzied, Alexandra Meliou

Package queries: efficient and scalable computation of high-order constraints Journal Article

The VLDB Journal, 2018, ([Special Issue on Best Papers of VLDB 2016]).

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Anna Fariha, Sheikh Muhammad Sarwar, Alexandra Meliou

SQuID: Semantic Similarity-Aware Query Intent Discovery Inproceedings

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 1745–1748, 2018, (demonstration paper).

Abstract | Links | BibTeX

Yue Wang, Alexandra Meliou, Gerome Miklau

RC-Index: Diversifying Answers to Range Queries Journal Article

PVLDB, 11 (7), pp. 773–786, 2018.

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Xiaolan Wang, Laura Haas, Alexandra Meliou

Explaining Data Integration Journal Article

IEEE Data Engineering Bulletin, 41 (2), pp. 47–58, 2018.

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2017

Ahmed Elgohary, Matthias Boehm, Peter J Haas, Frederick R Reiss, Berthold Reinwald

Compressed linear algebra for large-scale machine learning Journal Article

The VLDB Journal, 2017, ISSN: 0949-877X.

Abstract | Links | BibTeX

220 entries « 1 of 5 »