Sudeepa Roy

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 87

Top Venues

Publications

Hangdong Zhao, Shaleen Deep, Paraschos Koutris, Sudeepa Roy, Val Tannen
Evaluating Datalog over Semirings: A Grounding-based Approach. Proc. ACM Manag. Data 2 (2) (2024)
Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. AAAI (2024)
Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries. Proc. ACM Manag. Data 2 (3) (2024)
Jun Yang, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Sudeepa Roy, Kristin Stephens-Martinez
What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract. DataEd@SIGMOD (2024)
Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, Jun Yang
How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk). ICDT (2024)
Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
Summarized Causal Explanations For Aggregate Views. Proc. ACM Manag. Data 2 (1) (2024)
Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries. CoRR (2024)
Pablo Barceló, Pierre Bourhis, Stefan Mengel, Sudeepa Roy
Representation, Provenance, and Explanations in Database Theory and Logic (Dagstuhl Seminar 24032). Dagstuhl Reports 14 (1) (2024)
Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. CoRR (2024)
Hangdong Zhao, Shaleen Deep, Paraschos Koutris, Sudeepa Roy, Val Tannen
Evaluating Datalog over Semirings: A Grounding-based Approach. CoRR (2024)
Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
Causal What-If and How-To Analysis Using HypeR. ICDE (2023)
Dominik Moritz, Behrooz Omidvar-Tehrani, Sudeepa Roy
Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA). SIGMOD Conference Companion (2023)
Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
A Double Machine Learning Approach to Combining Experimental and Observational Data. CoRR (2023)
Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. Proc. VLDB Endow. 17 (1) (2023)
Tingyu Wang, Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
Explaining Differentially Private Query Results With DPXPlain. Proc. VLDB Endow. 16 (12) (2023)
Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. CoRR (2023)
Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang
Characterizing and Verifying Queries Via CINSGEN. SIGMOD Conference Companion (2023)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR (2022)
Sudeepa Roy
Toward Interpretable and Actionable Data Analysis with Explanations and Causality. Proc. VLDB Endow. 15 (12) (2022)
Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DPXPlain: Privately Explaining Aggregate Query Answers. Proc. VLDB Endow. 16 (1) (2022)
Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
Understanding Queries by Conditional Instances. SIGMOD Conference (2022)
Xiao Hu, Yuxi Liu, Haibo Xiu, Pankaj K. Agarwal, Debmalya Panigrahi, Sudeepa Roy, Jun Yang
Selectivity Functions of Range Queries are Learnable. SIGMOD Conference (2022)
Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, Sudeepa Roy
CaJaDE: Explaining Query Results by Augmenting Provenance with Context. Proc. VLDB Endow. 15 (12) (2022)
Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
Understanding Queries by Conditional Instances. CoRR (2022)
Yihao Hu, Zhengjie Miao, Zhiming Leong, Haechan Lim, Zachary Zheng, Sudeepa Roy, Kristin Stephens-Martinez, Jun Yang
I-Rex: An Interactive Relational Query Debugger for SQL. SIGCSE (2) (2022)
Sudeepa Roy, Jun Yang
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 45 (3) (2022)
Michael Bender, Michael Benedikt, Sudeepa Roy
2022 ACM PODS Alberto O. Mendelzon Test-of-Time Award. PODS (2022)
Sudeepa Roy, Babak Salimi
Causal Inference in Data Analysis with Applications to Fairness and Explanations. Reasoning Web (2022)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD Conference (2022)
Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
DPXPlain: Privately Explaining Aggregate Query Answers. CoRR (2022)
Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. J. Mach. Learn. Res. 22 (2021)
Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. SIGMOD Conference (2021)
Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version). CoRR (2021)
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
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. CoRR (2021)
Boris Glavic, Alexandra Meliou, Sudeepa Roy
Trends in Explanations: Understanding and Debugging Data-driven Systems. Found. Trends Databases 11 (3) (2021)
Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
Detecting Treatment Effect Modifiers in Social Networks. CoRR (2021)
Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy
Properties of Inconsistency Measures for Databases. SIGMOD Conference (2021)
Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy
Computing Local Sensitivities of Counting Queries with Joins. CoRR (2020)
Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy
Computing Local Sensitivities of Counting Queries with Joins. SIGMOD Conference (2020)
Amir Gilad, Daniel Deutch, Sudeepa Roy
On Multiple Semantics for Declarative Database Repairs. CoRR (2020)
Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
Causal Relational Learning. CoRR (2020)
Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy
MuSe: Multiple Deletion Semantics for Data Repair. Proc. VLDB Endow. 13 (12) (2020)
M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. CoRR (2020)
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
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49 (2) (2020)
Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. CoRR (2020)
Zhengjie Miao, Tiangang Chen, Alexander Bendeck, Kevin Day, Sudeepa Roy, Jun Yang
I-Rex: An Interactive Relational Query Explainer for SQL. Proc. VLDB Endow. 13 (12) (2020)
Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. UAI (2020)
Amir Gilad, Daniel Deutch, Sudeepa Roy
On Multiple Semantics for Declarative Database Repairs. SIGMOD Conference (2020)
Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy
Aggregated Deletion Propagation for Counting Conjunctive Query Answers. Proc. VLDB Endow. 14 (2) (2020)
Ester Livshits, Benny Kimelfeld, Sudeepa Roy
Computing Optimal Repairs for Functional Dependencies. ACM Trans. Database Syst. 45 (1) (2020)
M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. AISTATS (2020)
Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy
Aggregated Deletion Propagation for Counting Conjunctive Query Answers. CoRR (2020)
Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu
Causal Relational Learning. SIGMOD Conference (2020)
Theodoros Rekatsinas, Sudeepa Roy, Manasi Vartak, Ce Zhang, Neoklis Polyzotis
Opportunities for Data Management Research in the Era of Horizontal AI/ML. Proc. VLDB Endow. 12 (12) (2019)
Zhengjie Miao, Andrew Lee, Sudeepa Roy
LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers. Proc. VLDB Endow. 12 (12) (2019)
M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Interpretable Almost-Matching-Exactly With Instrumental Variables. CoRR (2019)
Zhengjie Miao, Sudeepa Roy, Jun Yang
Explaining Wrong Queries Using Small Examples. CoRR (2019)
Ester Livshits, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy
Principles of Progress Indicators for Database Repairing. CoRR (2019)
Zhengjie Miao, Sudeepa Roy, Jun Yang
Explaining Wrong Queries Using Small Examples. SIGMOD Conference (2019)
Debmalya Panigrahi, Shweta Patwa, Sudeepa Roy
Generalized Deletion Propagation on Counting Conjunctive Query Answers. CoRR (2019)
Zhengjie Miao, Qitian Zeng, Chenjie Li, Boris Glavic, Oliver Kennedy, Sudeepa Roy
CAPE: Explaining Outliers by Counterbalancing. Proc. VLDB Endow. 12 (12) (2019)
Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. SIGMOD Conference (2019)
Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks. SIGMOD Conference (2019)
M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Interpretable Almost Matching Exactly With Instrumental Variables. UAI (2019)
Brett Walenz, Stavros Sintos, Sudeepa Roy, Jun Yang
Learning to Sample: Counting with Complex Queries. CoRR (2019)
Brett Walenz, Stavros Sintos, Sudeepa Roy, Jun Yang
Learning to Sample: Counting with Complex Queries. Proc. VLDB Endow. 13 (3) (2019)
Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Interpretable Almost-Exact Matching for Causal Inference. AISTATS (2019)
Ria Mae Borromeo, Lei Chen, Abhishek Dubey, Sudeepa Roy, Saravanan Thirumuruganathan
On Benchmarking for Crowdsourcing and Future of Work Platforms. IEEE Data Eng. Bull. 42 (4) (2019)
Zhengjie Miao, Sudeepa Roy, Jun Yang
RATest: Explaining Wrong Relational Queries Using Small Examples. SIGMOD Conference (2019)
Prajakta Kalmegh, Harrison Lundberg, Frederick Xu, Shivnath Babu, Sudeepa Roy
iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks. SIGMOD Conference (2018)
Jun Yang, Pankaj K. Agarwal, Sudeepa Roy, Brett Walenz, You Wu, Cong Yu, Chengkai Li
Query Perturbation Analysis: An Adventure of Database Researchers in Fact-Checking. IEEE Data Eng. Bull. 41 (3) (2018)
Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang
Interactive Summarization and Exploration of Top Aggregate Query Answers. Proc. VLDB Endow. 11 (13) (2018)
Ester Livshits, Benny Kimelfeld, Sudeepa Roy
Computing Optimal Repairs for Functional Dependencies. PODS (2018)
Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy
iQCAR: Inter-Query Contention Analyzer. SoCC (2018)
Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang
Interactive Summarization and Exploration of Top Aggregate Query Answers. CoRR (2018)
Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang
QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. SIGMOD Conference (2018)
Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference. CoRR (2018)
Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
Exact Model Counting of Query Expressions: Limitations of Propositional Methods. ACM Trans. Database Syst. 42 (1) (2017)
Sudeepa Roy, Babak Salimi
A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence. CoRR (2017)
Brett Walenz, Sudeepa Roy, Jun Yang
Optimizing Iceberg Queries with Complex Joins. SIGMOD Conference (2017)
Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy
Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework. CoRR (2017)
Ester Livshits, Benny Kimelfeld, Sudeepa Roy
Computing Optimal Repairs for Functional Dependencies. CoRR (2017)
Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky, Tianyu Wang
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. CoRR (2017)
Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
Answering Conjunctive Queries with Inequalities. Theory Comput. Syst. 61 (1) (2017)
Benoît Groz, Tova Milo, Sudeepa Roy
On the Complexity of Evaluating Order Queries with the Crowd. IEEE Data Eng. Bull. 38 (3) (2015)
Sudeepa Roy, Laurel J. Orr, Dan Suciu
Explaining Query Answers with Explanation-Ready Databases. Proc. VLDB Endow. 9 (4) (2015)
Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
Answering Conjunctive Queries with Inequalities. ICDT (2015)
Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
Counting of Query Expressions: Limitations of Propositional Methods. ICDT (2014)
Daniel Deutch, Tova Milo, Sudeepa Roy, Val Tannen
Circuits for Datalog Provenance. ICDT (2014)
Alexandra Meliou, Sudeepa Roy, Dan Suciu
Causality and Explanations in Databases. Proc. VLDB Endow. 7 (13) (2014)
Sudeepa Roy, Dan Suciu
A formal approach to finding explanations for database queries. SIGMOD Conference (2014)
Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
Answering Conjunctive Queries with Inequalities. CoRR (2014)
Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy
Top-k and Clustering with Noisy Comparisons. ACM Trans. Database Syst. 39 (4) (2014)
Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. CoRR (2013)
Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. UAI (2013)
Sudeepa Roy, Laura Chiticariu, Vitaly Feldman, Frederick Reiss, Huaiyu Zhu
Provenance-based dictionary refinement in information extraction. SIGMOD Conference (2013)
Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy
Using the crowd for top-k and group-by queries. ICDT (2013)
Susan B. Davidson, Tova Milo, Sudeepa Roy
A propagation model for provenance views of public/private workflows. ICDT (2013)
Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
Model Counting of Query Expressions: Limitations of Propositional Methods. CoRR (2013)
Susan B. Davidson, Tova Milo, Sudeepa Roy
A Propagation Model for Provenance Views of Public/Private Workflows CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sudeepa Roy