4 citations · 7 across the 5 of their papers we have counts for
5 papers
ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data
Babak Salimi, Dan Suciu
Causal inference from observational data is a subject of active research and development in statistics and computer science. Many toolkits have been developed for this purpose that…
HoTTSQL: Proving Query Rewrites with Univalent SQL Semantics
Shumo Chu, Konstantin Weitz, Alvin Cheung +1
Every database system contains a query optimizer that performs query rewrites. Unfortunately, developing query optimizers remains a highly challenging task. Part of the challenges…
Approximate Lifted Inference with Probabilistic Databases
Wolfgang Gatterbauer, Dan Suciu
This paper proposes a new approach for approximate evaluation of #P-hard queries with probabilistic databases. In our approach, every query is evaluated entirely in the database en…
Symmetric Weighted First-Order Model Counting
Paul Beame, Guy Van den Broeck, Eric Gribkoff +1
The FO Model Counting problem (FOMC) is the following: given a sentence in FO and a number , compute the number of models of over a domain of size ; the Weighted vari…
PerfXplain: Debugging MapReduce Job Performance
Nodira Khoussainova, Magdalena Balazinska, Dan Suciu
While users today have access to many tools that assist in performing large scale data analysis tasks, understanding the performance characteristics of their parallel computations,…