Computer Science Colloquium
Tepper School of Business, Carnegie Mellon University, Pittsburgh, USA
Approximate Lifted Inference with Probabilistic DatabasesTue 08.03.2016, 17:00, 60 minutes
Science Park 3, S3 055
AbstractThe lecture introduces new approach for approximate evaluation of #P-hard queries with probabilistic databases. In this approach, every query is evaluated entirely in the database engine by evaluating a fixed number of query plans, each providing an upper bound on the true probability, then taking their minimum. An algorithm takes into account important schema information to enumerate only the minimal necessary plans among all possible plans. Importantly, this algorithm is a strict generalization of all known results of PTIME self-join-free conjunctive queries: A query is safe if and only if the algorithm returns one single plan. Three relational query optimization techniques are applied to evaluate all minimal safe plans very fast. Detailed experimental evaluation of this approach are given and, in the process, a new way of thinking about the value of probabilistic methods over non-probabilistic methods for ranking query answers is provided.
BioWolfgang Gatterbauer, grown up in Linz, is an Assistant Professor in the Tepper School of Business, and by courtesy in the Computer Science Department of Carnegie Mellon University. He received a Dipl.-Ing. degree from Graz University of Technology (Mechanical Engineering), two M.Sc. degrees from Massachusetts Institute of Technology (Electrical Engineering & Computer Science; and Technology & Policy), and his PhD in Computer Science from Vienna University of Technology (Database and Artificial Intelligence Group). Prior to joining CMU in 2011, he was a Post-Doc at University of Washington (Database Research Group). He also won a Bronze medal at the International Physics Olympiad, worked in the steam turbine development department of ABB Alstom Power, and in the German office of McKinsey & Company.
Invited by Univ.-Prof. Dr. Roland Wagner, a Univ.-Prof. Dr. Josef Küng, Institut für anwendungsorientierte Wissensverarbeitung
The Computer Science Colloquium is organized by the Department of Coputer Science at JKU, the Österreichische Gesellschaft für Informatik (ÖGI) and the Österreichische Computergesellschaft (OCG).