Sudeepa Roy - RankMe

134 papers A* 5A 17C 1Journal 80Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	A	`ed.`	28th International Conference on Database Theory, ICDT 2025, Barcelona, Spain, March 25-28, 2025 ICDT Sudeepa Roy, Ahmet Kara
2025	J	`jnl`	A Unifying Algorithm for Hierarchical Queries. CoRR Mahmoud Abo Khamis, Jesse Comer, Phokion G. Kolaitis, Sudeepa Roy, Val Tannen
2025	J	`jnl`	A Unifying Algorithm for Hierarchical Queries. Proc. ACM Manag. Data Mahmoud Abo Khamis, Jesse Comer, Phokion G. Kolaitis, Sudeepa Roy, Val Tannen
2025	—	`conf`	CauSumX: Summarized Causal Explanations For Group-By-Average Queries. SIGMOD Conference Companion Nativ Levy, Michael J. Cafarella, Amir Gilad, Sudeepa Roy, Brit Youngmann
2025	J	`jnl`	Circuits and Formulas for Datalog over Semirings. CoRR Austen Z. Fan, Paraschos Koutris, Sudeepa Roy
2025	J	`jnl`	Circuits and Formulas for Datalog over Semirings. Proc. ACM Manag. Data Austen Z. Fan, Paraschos Koutris, Sudeepa Roy
2025	J	`jnl`	Differentially private explanations for aggregate query answers. VLDB J. Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2025	J	`jnl`	Fair and Actionable Causal Prescription Ruleset. CoRR Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa Roy
2025	J	`jnl`	Fair and Actionable Causal Prescription Ruleset. Proc. ACM Manag. Data Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa Roy
2025	A	`conf`	Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects. AISTATS Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
2025	J	`jnl`	Hint-QPT: Hints for Robust Query Performance Tuning. Proc. VLDB Endow. Haibo Xiu, Yang Li, Qianyu Yang, Weihang Guo, Yuxi Liu, Sudeepa Roy, Pankaj K. Agarwal, Jun Yang
2025	J	`jnl`	PACMMOD V3, N4 (SIGMOD), September 2025: Editorial. Proc. ACM Manag. Data Carsten Binnig, Sudeepa Roy, Divyakant Agrawal
2025	J	`jnl`	PACMMOD V3, N6 (SIGMOD), December 2025: Editorial. Proc. ACM Manag. Data Carsten Binnig, Sudeepa Roy, Divy Agrawal, Angela Bonifati
2025	—	`conf`	Refining Labeling Functions with Limited Labeled Data. KDD (2) Chenjie Li, Amir Gilad, Boris Glavic, Zhengjie Miao, Sudeepa Roy
2025	J	`jnl`	Refining Labeling Functions with Limited Labeled Data. CoRR Chenjie Li, Amir Gilad, Boris Glavic, Zhengjie Miao, Sudeepa Roy
2025	J	`jnl`	dame-flame: A J. Stat. Softw. 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
2024	J	`jnl`	Evaluating Datalog over Semirings: A Grounding-based Approach. CoRR Hangdong Zhao, Shaleen Deep, Paraschos Koutris, Sudeepa Roy, Val Tannen
2024	J	`jnl`	Evaluating Datalog over Semirings: A Grounding-based Approach. Proc. ACM Manag. Data Hangdong Zhao, Shaleen Deep, Paraschos Koutris, Sudeepa Roy, Val Tannen
2024	A*	`conf`	Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. AAAI Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2024	J	`jnl`	Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. CoRR Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
2024	A	`conf`	How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk). ICDT Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, Jun Yang
2024	J	`jnl`	Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries. CoRR Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
2024	J	`jnl`	Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries. Proc. ACM Manag. Data Yihao Hu, Amir Gilad, Kristin Stephens-Martinez, Sudeepa Roy, Jun Yang
2024	J	`jnl`	Representation, Provenance, and Explanations in Database Theory and Logic (Dagstuhl Seminar 24032). Dagstuhl Reports Pablo Barceló, Pierre Bourhis, Stefan Mengel, Sudeepa Roy
2024	J	`jnl`	Summarized Causal Explanations For Aggregate Views (Full version). CoRR Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2024	J	`jnl`	Summarized Causal Explanations For Aggregate Views. Proc. ACM Manag. Data Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2024	J	`jnl`	The Cost of Representation by Subset Repairs. CoRR Yuxi Liu, Fangzhu Shen, Kushagra Ghosh, Amir Gilad, Benny Kimelfeld, Sudeepa Roy
2024	J	`jnl`	The Cost of Representation by Subset Repairs. Proc. VLDB Endow. Yuxi Liu, Fangzhu Shen, Kushagra Ghosh, Amir Gilad, Benny Kimelfeld, Sudeepa Roy
2024	—	`conf`	What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract. DataEd@SIGMOD Jun Yang, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Sudeepa Roy, Kristin Stephens-Martinez
2023	J	`jnl`	A Double Machine Learning Approach to Combining Experimental and Observational Data. CoRR Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2023	A*	`conf`	Causal What-If and How-To Analysis Using HypeR. ICDE Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2023	—	`conf`	Characterizing and Verifying Queries Via CINSGEN. SIGMOD Conference Companion Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang
2023	J	`jnl`	DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. CoRR Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2023	J	`jnl`	DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. Proc. VLDB Endow. Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2023	J	`jnl`	Explaining Differentially Private Query Results With DPXPlain. Proc. VLDB Endow. Tingyu Wang, Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2023	—	`conf`	Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA). SIGMOD Conference Companion Dominik Moritz, Behrooz Omidvar-Tehrani, Sudeepa Roy
2022	A*	`conf`	2022 ACM PODS Alberto O. Mendelzon Test-of-Time Award. PODS Michael Bender, Michael Benedikt, Sudeepa Roy
2022	J	`jnl`	CaJaDE: Explaining Query Results by Augmenting Provenance with Context. Proc. VLDB Endow. Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, Sudeepa Roy
2022	—	`conf`	Causal Inference in Data Analysis with Applications to Fairness and Explanations. RW Sudeepa Roy, Babak Salimi
2022	J	`jnl`	DPXPlain: Privately Explaining Aggregate Query Answers. CoRR Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2022	J	`jnl`	DPXPlain: Privately Explaining Aggregate Query Answers. Proc. VLDB Endow. Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy
2022	—	`conf`	HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD Conference Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022	J	`jnl`	HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022	—	`conf`	I-Rex: An Interactive Relational Query Debugger for SQL. SIGCSE (2) Yihao Hu, Zhengjie Miao, Zhiming Leong, Haechan Lim, Zachary Zheng, Sudeepa Roy, Kristin Stephens-Martinez, Jun Yang
2022	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Sudeepa Roy, Jun Yang
2022	—	`conf`	Selectivity Functions of Range Queries are Learnable. SIGMOD Conference Xiao Hu, Yuxi Liu, Haibo Xiu, Pankaj K. Agarwal, Debmalya Panigrahi, Sudeepa Roy, Jun Yang
2022	J	`jnl`	Toward Interpretable and Actionable Data Analysis with Explanations and Causality. Proc. VLDB Endow. Sudeepa Roy
2022	—	`conf`	Understanding Queries by Conditional Instances. SIGMOD Conference Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
2022	J	`jnl`	Understanding Queries by Conditional Instances. CoRR Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang
2021	J	`jnl`	Detecting Treatment Effect Modifiers in Social Networks. CoRR Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
2021	J	`jnl`	FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. J. Mach. Learn. Res. Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2021	—	`conf`	Properties of Inconsistency Measures for Databases. SIGMOD Conference Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy
2021	J	`jnl`	Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version). CoRR Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy
2021	—	`conf`	Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. SIGMOD Conference Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy
2021	J	`jnl`	Trends in Explanations: Understanding and Debugging Data-driven Systems. Found. Trends Databases Boris Glavic, Alexandra Meliou, Sudeepa Roy
2021	J	`jnl`	dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. CoRR 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
2020	A	`conf`	Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. UAI Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	J	`jnl`	Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. CoRR Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	J	`jnl`	Aggregated Deletion Propagation for Counting Conjunctive Query Answers. CoRR Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy
2020	J	`jnl`	Aggregated Deletion Propagation for Counting Conjunctive Query Answers. Proc. VLDB Endow. Xiao Hu, Shouzhuo Sun, Shweta Patwa, Debmalya Panigrahi, Sudeepa Roy
2020	A	`conf`	Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. AISTATS M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	J	`jnl`	Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. CoRR M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	—	`conf`	Causal Relational Learning. SIGMOD Conference Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu
2020	J	`jnl`	Causal Relational Learning. CoRR Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
2020	—	`conf`	Computing Local Sensitivities of Counting Queries with Joins. SIGMOD Conference Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy
2020	J	`jnl`	Computing Local Sensitivities of Counting Queries with Joins. CoRR Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy
2020	J	`jnl`	Computing Optimal Repairs for Functional Dependencies. ACM Trans. Database Syst. Ester Livshits, Benny Kimelfeld, Sudeepa Roy
2020	J	`jnl`	I-Rex: An Interactive Relational Query Explainer for SQL. Proc. VLDB Endow. Zhengjie Miao, Tiangang Chen, Alexander Bendeck, Kevin Day, Sudeepa Roy, Jun Yang
2020	J	`jnl`	Making AI Machines Work for Humans in FoW. SIGMOD Rec. 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
2020	J	`jnl`	MuSe: Multiple Deletion Semantics for Data Repair. Proc. VLDB Endow. Amir Gilad, Yihao Hu, Daniel Deutch, Sudeepa Roy
2020	—	`conf`	On Multiple Semantics for Declarative Database Repairs. SIGMOD Conference Amir Gilad, Daniel Deutch, Sudeepa Roy
2020	J	`jnl`	On Multiple Semantics for Declarative Database Repairs. CoRR Amir Gilad, Daniel Deutch, Sudeepa Roy
2019	—	`ed.`	11th International Workshop on Theory and Practice of Provenance, TaPP 2019, Philadelphia, PA, USA, June 3, 2019. TaPP Thomas Moyer, Sudeepa Roy
2019	J	`jnl`	CAPE: Explaining Outliers by Counterbalancing. Proc. VLDB Endow. Zhengjie Miao, Qitian Zeng, Chenjie Li, Boris Glavic, Oliver Kennedy, Sudeepa Roy
2019	—	`conf`	Explaining Wrong Queries Using Small Examples. SIGMOD Conference Zhengjie Miao, Sudeepa Roy, Jun Yang
2019	J	`jnl`	Explaining Wrong Queries Using Small Examples. CoRR Zhengjie Miao, Sudeepa Roy, Jun Yang
2019	J	`jnl`	Generalized Deletion Propagation on Counting Conjunctive Query Answers. CoRR Debmalya Panigrahi, Shweta Patwa, Sudeepa Roy
2019	—	`conf`	Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. SIGMOD Conference Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy
2019	A	`conf`	Interpretable Almost Matching Exactly With Instrumental Variables. UAI M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2019	A	`conf`	Interpretable Almost-Exact Matching for Causal Inference. AISTATS Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2019	J	`jnl`	Interpretable Almost-Matching-Exactly With Instrumental Variables. CoRR M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2019	J	`jnl`	Learning to Sample: Counting with Complex Queries. CoRR Brett Walenz, Stavros Sintos, Sudeepa Roy, Jun Yang
2019	J	`jnl`	Learning to Sample: Counting with Complex Queries. Proc. VLDB Endow. Brett Walenz, Stavros Sintos, Sudeepa Roy, Jun Yang
2019	J	`jnl`	LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers. Proc. VLDB Endow. Zhengjie Miao, Andrew Lee, Sudeepa Roy
2019	J	`jnl`	On Benchmarking for Crowdsourcing and Future of Work Platforms. IEEE Data Eng. Bull. Ria Mae Borromeo, Lei Chen, Abhishek Dubey, Sudeepa Roy, Saravanan Thirumuruganathan
2019	J	`jnl`	Opportunities for Data Management Research in the Era of Horizontal AI/ML. Proc. VLDB Endow. Theodoros Rekatsinas, Sudeepa Roy, Manasi Vartak, Ce Zhang, Neoklis Polyzotis
2019	J	`jnl`	Principles of Progress Indicators for Database Repairing. CoRR Ester Livshits, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy
2019	—	`conf`	RATest: Explaining Wrong Relational Queries Using Small Examples. SIGMOD Conference Zhengjie Miao, Sudeepa Roy, Jun Yang
2019	—	`conf`	iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks. SIGMOD Conference Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy
2018	J	`jnl`	Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference. CoRR Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2018	A*	`conf`	Computing Optimal Repairs for Functional Dependencies. PODS Ester Livshits, Benny Kimelfeld, Sudeepa Roy
2018	J	`jnl`	Interactive Summarization and Exploration of Top Aggregate Query Answers. CoRR Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang
2018	J	`jnl`	Interactive Summarization and Exploration of Top Aggregate Query Answers. Proc. VLDB Endow. Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang
2018	—	`ch.`	Provenance: Privacy and Security. Encyclopedia of Database Systems (2nd ed.) Susan B. Davidson, Sudeepa Roy
2018	—	`conf`	QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. SIGMOD Conference Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang
2018	J	`jnl`	Query Perturbation Analysis: An Adventure of Database Researchers in Fact-Checking. IEEE Data Eng. Bull. Jun Yang, Pankaj K. Agarwal, Sudeepa Roy, Brett Walenz, You Wu, Cong Yu, Chengkai Li
2018	—	`ch.`	Uncertain Data Lineage. Encyclopedia of Database Systems (2nd ed.) Sudeepa Roy
2018	—	`conf`	iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks. SIGMOD Conference Prajakta Kalmegh, Harrison Lundberg, Frederick Xu, Shivnath Babu, Sudeepa Roy
2018	—	`conf`	iQCAR: Inter-Query Contention Analyzer. SoCC Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy
2017	J	`jnl`	A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence. CoRR Sudeepa Roy, Babak Salimi
2017	J	`jnl`	Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework. CoRR Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy
2017	J	`jnl`	Answering Conjunctive Queries with Inequalities. Theory Comput. Syst. Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
2017	J	`jnl`	Computing Optimal Repairs for Functional Dependencies. CoRR Ester Livshits, Benny Kimelfeld, Sudeepa Roy
2017	J	`jnl`	Exact Model Counting of Query Expressions: Limitations of Propositional Methods. ACM Trans. Database Syst. Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
2017	J	`jnl`	FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. CoRR Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky, Tianyu Wang
2017	—	`conf`	Optimizing Iceberg Queries with Complex Joins. SIGMOD Conference Brett Walenz, Sudeepa Roy, Jun Yang
2015	A	`conf`	Answering Conjunctive Queries with Inequalities. ICDT Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
2015	J	`jnl`	Explaining Query Answers with Explanation-Ready Databases. Proc. VLDB Endow. Sudeepa Roy, Laurel J. Orr, Dan Suciu
2015	J	`jnl`	On the Complexity of Evaluating Order Queries with the Crowd. IEEE Data Eng. Bull. Benoît Groz, Tova Milo, Sudeepa Roy
2014	—	`conf`	A formal approach to finding explanations for database queries. SIGMOD Conference Sudeepa Roy, Dan Suciu
2014	J	`jnl`	Answering Conjunctive Queries with Inequalities. CoRR Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu
2014	J	`jnl`	Causality and Explanations in Databases. Proc. VLDB Endow. Alexandra Meliou, Sudeepa Roy, Dan Suciu
2014	A	`conf`	Circuits for Datalog Provenance. ICDT Daniel Deutch, Tova Milo, Sudeepa Roy, Val Tannen
2014	A	`conf`	Counting of Query Expressions: Limitations of Propositional Methods. ICDT Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
2014	J	`jnl`	Top-k and Clustering with Noisy Comparisons. ACM Trans. Database Syst. Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy
2013	A	`conf`	A propagation model for provenance views of public/private workflows. ICDT Susan B. Davidson, Tova Milo, Sudeepa Roy
2013	A	`conf`	Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. UAI Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
2013	J	`jnl`	Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. CoRR Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
2013	J	`jnl`	Model Counting of Query Expressions: Limitations of Propositional Methods. CoRR Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu
2013	—	`conf`	Provenance-based dictionary refinement in information extraction. SIGMOD Conference Sudeepa Roy, Laura Chiticariu, Vitaly Feldman, Frederick Reiss, Huaiyu Zhu
2013	A	`conf`	Using the crowd for top-k and group-by queries. ICDT Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy
2012	J	`jnl`	A Propagation Model for Provenance Views of Public/Private Workflows CoRR Susan B. Davidson, Tova Milo, Sudeepa Roy
2011	A	`conf`	Enabling Privacy in Provenance-Aware Workflow Systems. CIDR Susan B. Davidson, Sanjeev Khanna, Val Tannen, Sudeepa Roy, Yi Chen, Tova Milo, Julia Stoyanovich
2011	A	`conf`	Faster query answering in probabilistic databases using read-once functions. ICDT Sudeepa Roy, Vittorio Perduca, Val Tannen
2011	—	`conf`	Hiding Data and Structure in Workflow Provenance. DNIS Susan B. Davidson, Zhuowei Bao, Sudeepa Roy
2011	A	`conf`	On provenance and privacy. ICDT Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy, Julia Stoyanovich, Val Tannen, Yi Chen
2011	A*	`conf`	Provenance views for module privacy. PODS Susan B. Davidson, Sanjeev Khanna, Tova Milo, Debmalya Panigrahi, Sudeepa Roy
2011	J	`jnl`	Queries with Difference on Probabilistic Databases. Proc. VLDB Endow. Sanjeev Khanna, Sudeepa Roy, Val Tannen
2010	—	`conf`	An optimal labeling scheme for workflow provenance using skeleton labels. SIGMOD Conference Zhuowei Bao, Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy
2010	J	`jnl`	Faster Query Answering in Probabilistic Databases using Read-Once Functions CoRR Sudeepa Roy, Vittorio Perduca, Val Tannen
2010	J	`jnl`	Preserving Module Privacy in Workflow Provenance CoRR Susan B. Davidson, Sanjeev Khanna, Debmalya Panigrahi, Sudeepa Roy
2009	A	`conf`	Optimizing user views for workflows. ICDT Olivier Biton, Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy
2008	—	`conf`	STCON in Directed Unique-Path Graphs. FSTTCS Sampath Kannan, Sanjeev Khanna, Sudeepa Roy
2006	C	`conf`	Tool for Translating Simulink Models into Input Language of a Model Checker. ICFEM B. Meenakshi, Abhishek Bhatnagar, Sudeepa Roy