Sudeepa Roy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
12
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects. | Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi |
| 2025 | KDD | Refining Labeling Functions with Limited Labeled Data. | Chenjie Li, Amir Gilad, Boris Glavic, Zhengjie Miao, Sudeepa Roy |
| 2025 | SIGMOD | CauSumX: Summarized Causal Explanations For Group-By-Average Queries. | Nativ Levy, Michael J. Cafarella, Amir Gilad, Sudeepa Roy, Brit Youngmann |
| 2024 | AAAI | 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 |
| 2024 | ICDT | 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 |
| 2023 | ICDE | Causal What-If and How-To Analysis Using HypeR. | Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi |
| 2023 | SIGMOD | Characterizing and Verifying Queries Via CINSGEN. | Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang |
| 2023 | SIGMOD | Seventh Workshop on Human-In-the-Loop Data Analytics (HILDA). | Dominik Moritz, Behrooz Omidvar-Tehrani, Sudeepa Roy |
| 2022 | PODS | 2022 ACM PODS Alberto O. Mendelzon Test-of-Time Award. | Michael Bender, Michael Benedikt, Sudeepa Roy |
| 2022 | SIGCSE | 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 |
| 2022 | SIGMOD | HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. | Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi |
| 2022 | SIGMOD | Understanding Queries by Conditional Instances. | Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang |
| 2022 | SIGMOD | Selectivity Functions of Range Queries are Learnable. | Xiao Hu, Yuxi Liu, Haibo Xiu, Pankaj K. Agarwal, Debmalya Panigrahi, Sudeepa Roy, Jun Yang |
| 2021 | SIGMOD | Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. | Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy |
| 2021 | SIGMOD | Properties of Inconsistency Measures for Databases. | Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab F. Ilyas, Benny Kimelfeld, Sudeepa Roy |
| 2020 | AISTATS | Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. | M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky |
| 2020 | SIGMOD | On Multiple Semantics for Declarative Database Repairs. | Amir Gilad, Daniel Deutch, Sudeepa Roy |
| 2020 | SIGMOD | Causal Relational Learning. | Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu |
| 2020 | SIGMOD | Computing Local Sensitivities of Counting Queries with Joins. | Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy |
| 2020 | UAI | Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. | Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky |
| 2019 | AISTATS | Interpretable Almost-Exact Matching for Causal Inference. | Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky |
| 2019 | SIGMOD | iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks. | Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy |
| 2019 | SIGMOD | Explaining Wrong Queries Using Small Examples. | Zhengjie Miao, Sudeepa Roy, Jun Yang |
| 2019 | SIGMOD | RATest: Explaining Wrong Relational Queries Using Small Examples. | Zhengjie Miao, Sudeepa Roy, Jun Yang |
| 2019 | SIGMOD | Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. | Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy |
| 2019 | UAI | Interpretable Almost Matching Exactly With Instrumental Variables. | M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky |
| 2018 | CLOUD | iQCAR: Inter-Query Contention Analyzer. | Prajakta Kalmegh, Shivnath Babu, Sudeepa Roy |
| 2018 | PODS | Computing Optimal Repairs for Functional Dependencies. | Ester Livshits, Benny Kimelfeld, Sudeepa Roy |
| 2018 | SIGMOD | iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks. | Prajakta Kalmegh, Harrison Lundberg, Frederick Xu, Shivnath Babu, Sudeepa Roy |
| 2018 | SIGMOD | QAGView: Interactively Summarizing High-Valued Aggregate Query Answers. | Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang |
| 2017 | SIGMOD | Optimizing Iceberg Queries with Complex Joins. | Brett Walenz, Sudeepa Roy, Jun Yang |
| 2015 | ICDT | Answering Conjunctive Queries with Inequalities. | Paraschos Koutris, Tova Milo, Sudeepa Roy, Dan Suciu |
| 2014 | ICDT | Counting of Query Expressions: Limitations of Propositional Methods. | Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu |
| 2014 | ICDT | Circuits for Datalog Provenance. | Daniel Deutch, Tova Milo, Sudeepa Roy, Val Tannen |
| 2014 | SIGMOD | A formal approach to finding explanations for database queries. | Sudeepa Roy, Dan Suciu |
| 2013 | ICDT | Using the crowd for top-k and group-by queries. | Susan B. Davidson, Sanjeev Khanna, Tova Milo, Sudeepa Roy |
| 2013 | ICDT | A propagation model for provenance views of public/private workflows. | Susan B. Davidson, Tova Milo, Sudeepa Roy |
| 2013 | SIGMOD | Provenance-based dictionary refinement in information extraction. | Sudeepa Roy, Laura Chiticariu, Vitaly Feldman, Frederick Reiss, Huaiyu Zhu |
| 2013 | UAI | Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases. | Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu |
| 2011 | CIDR | Enabling Privacy in Provenance-Aware Workflow Systems. | Susan B. Davidson, Sanjeev Khanna, Val Tannen, Sudeepa Roy, Yi Chen, Tova Milo, Julia Stoyanovich |
| 2011 | ICDT | On provenance and privacy. | Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy, Julia Stoyanovich, Val Tannen, Yi Chen |
| 2011 | ICDT | Faster query answering in probabilistic databases using read-once functions. | Sudeepa Roy, Vittorio Perduca, Val Tannen |
| 2011 | PODS | Provenance views for module privacy. | Susan B. Davidson, Sanjeev Khanna, Tova Milo, Debmalya Panigrahi, Sudeepa Roy |
| 2010 | SIGMOD | An optimal labeling scheme for workflow provenance using skeleton labels. | Zhuowei Bao, Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy |
| 2009 | ICDT | Optimizing user views for workflows. | Olivier Biton, Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy |
| 2006 | ICFEM | Tool for Translating Simulink Models into Input Language of a Model Checker. | B. Meenakshi, Abhishek Bhatnagar, Sudeepa Roy |