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2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) ,
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Applications of Information Inequalities to Database Theory..:
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Proceedings of the 2022 International Conference on Management of Data ,
2
Optimizing Recursive Queries with Progam Synthesis:
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Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems ,
3
Convergence of Datalog over (Pre-) Semirings:
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Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence ,
4
Agile principles applied in learning contexts:
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Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems ,
5
A Dichotomy for the Generalized Model Counting Problem for ..:
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Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data ,
6
Handling Highly Contended OLTP Workloads Using Fast Dynamic..:
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Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data ,
7
Sample Debiasing in the Themis Open World Database System:
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Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems ,
8
Probabilistic Databases for All:
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Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems ,
9
Bag Query Containment and Information Theory:
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Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data ,
10
Mining Approximate Acyclic Schemes from Relations:
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Proceedings of the Fourth International Workshop on Data Management for End-to-End Machine Learning ,
11
Causality-based Explanation of Classification Outcomes:
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Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data ,
12
Entity Matching in the Wild: A Consistent and Versatile Fra..:
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Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data ,
13
Causal Relational Learning:
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Proceedings of the 2019 International Conference on Management of Data ,
14
Interventional Fairness : Causal Database Repair for Alg..:
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Proceedings of the 2019 International Conference on Management of Data ,
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