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    Faculty Profile — Is this you? Login to edit.Last Modified Time: 01:23:30 PM Wed, 23 Oct 2013 
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Vibhav Gogate
Assistant Professor-Computer Science, Department of
Office MailstopECSS, Room No.: 3.606 
Email Address  vxg112130@utdallas.edu    Primary Phone Number 972-883-4245    Media Contact
Keywords Artificial Intelligence, machine learning, automated reasoning, probabilistic inference, lifted inference, search, graphical models, Bayesian networks, Markov networks, constraint networks, satis- fiability, Markov logic, probabilistic databases, logica   
 Professional Preparation
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 DegreeMajorInstitutionYear
 PHDInformation and Computer ScienceUniversity of California Irvine2009
 M.S.Computer ScienceUniversity of Maine, Orono2002
 B.S.Computer EngineeringUniversity of Mumbai1999
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Honors and Awards
  • Co-winner of the UAI Approximate Inference Challenge, 2010 (won four out of six categories participated).
  • Thesis nominated by University of California, Irvine for ACM Doctoral Dissertation award, 2009.
  • Co-winner of Probabilistic Inference Evaluation, 2008.
  • Joseph Fischer Memorial Fellowship Award for Outstanding Academic Achievement in Computer Science at University of California, Irvine, 2004.
  • Graduate Fellowship, University of California, Irvine, 2002-2003.
Research Interests

Machine learning, Artificial Intelligence, Data mining and Big data.

Collapse Section Expand Section Publications
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  YearPublication  Type
2013
Deepak Venugopal and Vibhav Gogate, “GiSS: Combining SampleSearch and Importance Sampling for Inference in Mixed Probabilistic and Deterministic Graphical Models,” In 27th AAAI Conference on Artificial Intelligence (AAAI), 2013.
Other
2013
David Smith and Vibhav Gogate, “The Inclusion-Exclusion Rule and its Application to the Junction Tree Algorithm,” In 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.
Other
2013
Vibhav Gogate and Pedro Domingos, “Structured Message Passing,” In 29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013.
Other
2013
Deepak Venugopal and Vibhav Gogate, “Dynamic Blocking and Collapsing for Gibbs Sampling,” In 29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013.
Other
2013
Somdeb Sarkhel and Vibhav Gogate, “Lifting WALKSAT-based Local Search Algorithms for MAP Inference,” In AAAI-13 Workshop on Statistical Relational Artificial Intelligence, 2013.
Other
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 Additional Information
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Personal Statement
Vibhav Gogate is an Assistant Professor in the Computer Science Department at the University of Texas at Dallas. He got his Ph.D. at University of California, Irvine in 2009 and then did a two-year post-doc at University of Washington. His research interests are in artificial intelligence, machine learning and data mining. His ongoing focus is on probabilistic graphical models, their first-order logic based extensions such as Markov logic and probabilistic programming. He has published over 25 papers in top-tier conferences and journals such as AAAI, UAI, NIPS, AISTATS, AIJ and JAIR. He is the co-winner of the last two probabilistic inference competitions - the 2010 UAI approximate inference challenge and the 2012 PASCAL probabilistic inference competition.

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