Sudeepa Roy

According to our database, Sudeepa Roy authored at least 93 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Summarized Causal Explanations For Aggregate Views.

Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy

Proc. ACM Manag. Data, February, 2024

Evaluating Datalog over Semirings: A Grounding-based Approach.

Hangdong Zhao, Shaleen Deep, Paraschos Koutris, Sudeepa Roy, Val Tannen

Proc. ACM Manag. Data, 2024

Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries.

Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang

Proc. ACM Manag. Data, 2024

Representation, Provenance, and Explanations in Database Theory and Logic (Dagstuhl Seminar 24032).

Pablo Barceló, Pierre Bourhis, Stefan Mengel, Sudeepa Roy

Dagstuhl Reports, 2024

The Cost of Representation by Subset Repairs.

Yuxi Liu, Fangzhu Shen, Kushagra Ghosh, Amir Gilad, Benny Kimelfeld, Sudeepa Roy

CoRR, 2024

Summarized Causal Explanations For Aggregate Views (Full version).

Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy

CoRR, 2024

Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects.

Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi

CoRR, 2024

How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk).

Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, Jun Yang

Proceedings of the 27th International Conference on Database Theory, 2024

What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract.

Jun Yang, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Sudeepa Roy, Kristin Stephens-Martinez

Proceedings of the 3rd International Workshop on Data Systems Education: Bridging education practice with education research, 2024

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference.

Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explaining Differentially Private Query Results With DPXPlain.

Tingyu Wang, Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy

Proc. VLDB Endow., 2023

DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms.

Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy

Proc. VLDB Endow., 2023

A Double Machine Learning Approach to Combining Experimental and Observational Data.

Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

CoRR, 2023

Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA).

Dominik Moritz, Behrooz Omidvar-Tehrani, Sudeepa Roy

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Characterizing and Verifying Queries Via CINSGEN.

Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Causal What-If and How-To Analysis Using HypeR.

Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

DPXPlain: Privately Explaining Aggregate Query Answers.

Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy

Proc. VLDB Endow., 2022

Toward Interpretable and Actionable Data Analysis with Explanations and Causality.

Sudeepa Roy

Proc. VLDB Endow., 2022

CaJaDE: Explaining Query Results by Augmenting Provenance with Context.

Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, Sudeepa Roy

Proc. VLDB Endow., 2022

Letter from the Special Issue Editor.

Sudeepa Roy, Jun Yang

IEEE Data Eng. Bull., 2022

Selectivity Functions of Range Queries are Learnable.

Xiao Hu, Yuxi Liu, Haibo Xiu, Pankaj K. Agarwal, Debmalya Panigrahi, Sudeepa Roy, Jun Yang

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Understanding Queries by Conditional Instances.

Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach.

Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

I-Rex: An Interactive Relational Query Debugger for SQL.

Yihao Hu, Zhengjie Miao, Zhiming Leong, Haechan Lim, Zachary Zheng, Sudeepa Roy, Kristin Stephens-Martinez, Jun Yang

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Causal Inference in Data Analysis with Applications to Fairness and Explanations.

Sudeepa Roy, Babak Salimi

Proceedings of the Reasoning Web. Causality, Explanations and Declarative Knowledge, 2022

2022 ACM PODS Alberto O. Mendelzon Test-of-Time Award.

Michael Bender, Michael Benedikt, Sudeepa Roy

Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference.

Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

J. Mach. Learn. Res., 2021

Trends in Explanations: Understanding and Debugging Data-driven Systems.

Boris Glavic, Alexandra Meliou, Sudeepa Roy

Found. Trends Databases, 2021

Detecting Treatment Effect Modifiers in Social Networks.

Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy

CoRR, 2021

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version).

Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy

CoRR, 2021

dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference.

Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

CoRR, 2021

Properties of Inconsistency Measures for Databases.

Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs.

Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Computing Optimal Repairs for Functional Dependencies.

Ester Livshits, Benny Kimelfeld, Sudeepa Roy

ACM Trans. Database Syst., 2020

Making AI Machines Work for Humans in FoW.

Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida

SIGMOD Rec., 2020

I-Rex: An Interactive Relational Query Explainer for SQL.

Zhengjie Miao, Tiangang Chen, Alexander Bendeck, Kevin Day, Sudeepa Roy, Jun Yang

Proc. VLDB Endow., 2020

Aggregated Deletion Propagation for Counting Conjunctive Query Answers.

Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy

Proc. VLDB Endow., 2020

MuSe: Multiple Deletion Semantics for Data Repair.

Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy

Proc. VLDB Endow., 2020

Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation.

Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Computing Local Sensitivities of Counting Queries with Joins.

Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy

Proceedings of the 2020 International Conference on Management of Data, 2020

Causal Relational Learning.

Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu

Proceedings of the 2020 International Conference on Management of Data, 2020

On Multiple Semantics for Declarative Database Repairs.

Amir Gilad, Daniel Deutch, Sudeepa Roy

Proceedings of the 2020 International Conference on Management of Data, 2020

Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference.

M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Learning to Sample: Counting with Complex Queries.

Brett Walenz, Stavros Sintos, Sudeepa Roy, Jun Yang

Proc. VLDB Endow., 2019

Opportunities for Data Management Research in the Era of Horizontal AI/ML.

Theodoros Rekatsinas, Sudeepa Roy, Manasi Vartak, Ce Zhang, Neoklis Polyzotis

Proc. VLDB Endow., 2019

CAPE: Explaining Outliers by Counterbalancing.

Zhengjie Miao, Qitian Zeng, Chenjie Li, Boris Glavic, Oliver Kennedy, Sudeepa Roy

Proc. VLDB Endow., 2019

LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers.

Zhengjie Miao, Andrew Lee, Sudeepa Roy

Proc. VLDB Endow., 2019

On Benchmarking for Crowdsourcing and Future of Work Platforms.

Ria Mae Borromeo, Lei Chen, Abhishek Dubey, Sudeepa Roy, Saravanan Thirumuruganathan

IEEE Data Eng. Bull., 2019

Generalized Deletion Propagation on Counting Conjunctive Query Answers.

Debmalya Panigrahi, Shweta Patwa, Sudeepa Roy

CoRR, 2019

Principles of Progress Indicators for Database Repairing.

Ester Livshits, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy

CoRR, 2019

Interpretable Almost Matching Exactly With Instrumental Variables.

M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances.

Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy

Proceedings of the 2019 International Conference on Management of Data, 2019

RATest: Explaining Wrong Relational Queries Using Small Examples.

Zhengjie Miao, Sudeepa Roy, Jun Yang

Proceedings of the 2019 International Conference on Management of Data, 2019

Explaining Wrong Queries Using Small Examples.

Zhengjie Miao, Sudeepa Roy, Jun Yang

Proceedings of the 2019 International Conference on Management of Data, 2019

iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks.

Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy

Proceedings of the 2019 International Conference on Management of Data, 2019

Interpretable Almost-Exact Matching for Causal Inference.

Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Uncertain Data Lineage.

Sudeepa Roy

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Provenance: Privacy and Security.

Susan B. Davidson, Sudeepa Roy

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Interactive Summarization and Exploration of Top Aggregate Query Answers.

Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang

Proc. VLDB Endow., 2018

Query Perturbation Analysis: An Adventure of Database Researchers in Fact-Checking.

Jun Yang, Pankaj K. Agarwal, Sudeepa Roy, Brett Walenz, You Wu, Cong Yu, Chengkai Li

IEEE Data Eng. Bull., 2018

Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference.

Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

CoRR, 2018

QAGView: Interactively Summarizing High-Valued Aggregate Query Answers.

Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang

Proceedings of the 2018 International Conference on Management of Data, 2018

iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks.

Prajakta Kalmegh, Harrison Lundberg, Frederick Xu, Shivnath Babu, Sudeepa Roy

Proceedings of the 2018 International Conference on Management of Data, 2018

iQCAR: Inter-Query Contention Analyzer.

Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Exact Model Counting of Query Expressions: Limitations of Propositional Methods.

Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu

ACM Trans. Database Syst., 2017

Answering Conjunctive Queries with Inequalities.

Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu

Theory Comput. Syst., 2017

Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework.

Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy

CoRR, 2017

A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence.

Sudeepa Roy, Babak Salimi

CoRR, 2017

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference.

Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky, Tianyu Wang

CoRR, 2017

Optimizing Iceberg Queries with Complex Joins.

Brett Walenz, Sudeepa Roy, Jun Yang

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2015

Explaining Query Answers with Explanation-Ready Databases.

Sudeepa Roy, Laurel J. Orr, Dan Suciu

Proc. VLDB Endow., 2015

On the Complexity of Evaluating Order Queries with the Crowd.

Benoît Groz, Tova Milo, Sudeepa Roy

IEEE Data Eng. Bull., 2015

2014

Top-k and Clustering with Noisy Comparisons.

Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy

ACM Trans. Database Syst., 2014

Causality and Explanations in Databases.

Alexandra Meliou, Sudeepa Roy, Dan Suciu

Proc. VLDB Endow., 2014

A formal approach to finding explanations for database queries.

Sudeepa Roy, Dan Suciu

Proceedings of the International Conference on Management of Data, 2014

Circuits for Datalog Provenance.

Daniel Deutch, Tova Milo, Sudeepa Roy, Val Tannen

Proceedings of the Proc. 17th International Conference on Database Theory (ICDT), 2014

Counting of Query Expressions: Limitations of Propositional Methods.

Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu

Proceedings of the Proc. 17th International Conference on Database Theory (ICDT), 2014

2013

Model Counting of Query Expressions: Limitations of Propositional Methods.

Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu

CoRR, 2013

Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases.

Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Provenance-based dictionary refinement in information extraction.

Sudeepa Roy, Laura Chiticariu, Vitaly Feldman, Frederick Reiss, Huaiyu Zhu

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

A propagation model for provenance views of public/private workflows.

Susan B. Davidson, Tova Milo, Sudeepa Roy

Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Using the crowd for top-k and group-by queries.

Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy

Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

2011

Queries with Difference on Probabilistic Databases.

Sanjeev Khanna, Sudeepa Roy, Val Tannen

Proc. VLDB Endow., 2011

Provenance views for module privacy.

Susan B. Davidson, Sanjeev Khanna, Tova Milo, Debmalya Panigrahi, Sudeepa Roy

Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011

Faster query answering in probabilistic databases using read-once functions.

Sudeepa Roy, Vittorio Perduca, Val Tannen

Proceedings of the Database Theory, 2011

On provenance and privacy.

Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy, Julia Stoyanovich, Val Tannen, Yi Chen

Proceedings of the Database Theory, 2011

Hiding Data and Structure in Workflow Provenance.

Susan B. Davidson, Zhuowei Bao, Sudeepa Roy

Proceedings of the Databases in Networked Information Systems - 7th International Workshop, 2011

Enabling Privacy in Provenance-Aware Workflow Systems.

Susan B. Davidson, Sanjeev Khanna, Val Tannen, Sudeepa Roy, Yi Chen, Tova Milo, Julia Stoyanovich

Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011

2010

Preserving Module Privacy in Workflow Provenance

Susan B. Davidson, Sanjeev Khanna, Debmalya Panigrahi, Sudeepa Roy

CoRR, 2010

An optimal labeling scheme for workflow provenance using skeleton labels.

Zhuowei Bao, Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009

Optimizing user views for workflows.

Olivier Biton, Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy

Proceedings of the Database Theory, 2009

2008

STCON in Directed Unique-Path Graphs.

Sampath Kannan, Sanjeev Khanna, Sudeepa Roy

Proceedings of the IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2008

2006

Tool for Translating Simulink Models into Input Language of a Model Checker.

B. Meenakshi, Abhishek Bhatnagar, Sudeepa Roy

Proceedings of the Formal Methods and Software Engineering, 2006