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Events for January 25, 2018
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CS Colloquium: Jay Pujara (University of Southern California) - Probabilistic Models for Large, Noisy, and Dynamic Data
Thu, Jan 25, 2018 @ 11:00 AM - 12:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jay Pujara, University of Southern California
Talk Title: Probabilistic Models for Large, Noisy, and Dynamic Data
Series: Computer Science Colloquium
Abstract: We inhabit a vast, uncertain, and dynamic universe. To succeed in such an environment, artificial intelligence approaches must handle massive amounts of noisy, changing evidence. My research addresses the problems of building scalable, probabilistic models amenable to online updates. To illustrate the potential of such models, I present my work on knowledge graph identification, which jointly resolves the entities, attributes, and relationships in a knowledge graph by combining statistical NLP signals and semantic constraints. Using probabilistic soft logic, a statistical relational learning framework I helped develop, I demonstrate how knowledge graph identification can scale to millions of uncertain candidate facts and tens of millions of semantic dependencies in real-world data while achieving state-of-the-art performance. My work further extends this scalability by adopting a distributed computing approach, reducing the inference time of knowledge graph identification from two hours to ten minutes. Updating large, collective models like those used for knowledge graphs with new information poses a significant challenge. I develop a regret bound for probabilistic models and use this bound to motivate practical algorithms that support low-regret updates while improving inference time over 65%. Finally, I highlight several active projects in causal explanation, sustainability, bioinformatics, and mobile analytics that provide a promising foundation for future research.
This lecture satisfies requirements for CSCI 591: Research Colloquium. Please note, due to limited capacity in OHE 100D, seats will be first come first serve.
Biography: Jay Pujara is a research scientist at the University of Southern California's Information Sciences Institute whose principal areas of research are machine learning, artificial intelligence, and data science. He completed a postdoc at UC Santa Cruz, earned his PhD at the University of Maryland, College Park and received his MS and BS at Carnegie Mellon University. Prior to his PhD, Jay spent six years at Yahoo! working on mail spam detection, user trust, and contextual mail experiences, and he has also worked at Google, LinkedIn and Oracle. Jay is the author of over thirty peer-reviewed publications and has received three best paper awards for his work. He is a recognized authority on knowledge graphs, and has organized the Automatic Knowledge Base Construction (AKBC) and Statistical Relational AI (StaRAI) workshops, has presented tutorials on knowledge graph construction at AAAI and WSDM, and has had his work featured in AI Magazine. For more information, visit https://www.jaypujara.org
Host: Stefan Scherer
Location: Olin Hall of Engineering (OHE) - 100D
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Colloquium: Laurie Williams (NCSU) - If Not Us, Then Who?
Thu, Jan 25, 2018 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Laurie Williams, NCSU
Talk Title: If Not Us, Then Who?
Series: Computer Science Colloquium
Abstract: Stolen personal information, hospitals shutdown until they pay in bitcoin to get their data back, spying through our smart TVs-“ cybersecurity breaches are in the news every day. Cyberspace will not be more secure until engineers build more secure systems. Each of has a role in a more secure cyberspace. Teachers have to teach students how to develop securely; researchers have to understand the attackers' motives and actions and develop techniques that can be easily adopted to stop those attackers in their tracks; practitioners need to adopt secure development practices into their workflow; users need to interact with computers more prudently. This talk will present trend analysis obtained by an extensive and longitudinal interview study of security professionals in six business verticals over a five-year period. The interviews from more than 100 companies worldwide focused on the technical and organizational practices adopted by the companies in their quest to develop more secure software. This talk will present lessons learned that can guide all of us in our role toward a more secure cyberspace.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Laurie Williams is the Interim Department Head of Computer Science and a Professor in the Computer Science Department of the College of Engineering at North Carolina State University (NCSU). Laurie is a co-director of the NCSU Science of Security Lablet sponsored by the National Security Agency. Laurie's research focuses on software security; agile software development practices and processes; software reliability, and software testing and analysis. In 2018, Laurie was names an IEEE Fellow for contributions to reliable and secure software engineering.
Host: Chao Wang
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
