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Gogate, Vibhav

Dr. Vibhav Gogate

Associate Professor

Degrees:

  • Ph.D., Computer Science, University of California, Irvine, 2009

Research Interests:

  • Machine learning
  • Artificial Intelligence
  • Data mining
  • Big data

Representative Publications:

  • Deepak Venugopal, Somdeb Sarkhel and Vibhav Gogate, “Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs,” In AAAI 2015.
  • Somdeb Sarkhel, Deepak Venugopal, Parag Singla and Vibhav Gogate, “An Integer Polynomial Programming Based Framework for Lifted MAP Inference,” In NIPS 2014.
  • Deepak Venugopal, Chen Chen, Vibhav Gogate and Vincent Ng, “Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features,” In Empirical Methods in Natural Language Processing Conference (EMNLP), 2014.
  • Happy Mittal, Prasoon Goyal, Vibhav Gogate and Parag Singla, “New Rules for Domain Independent Lifted MAP Inference,” In NIPS 2014.
  • Deepak Venugopal and Vibhav Gogate, “Scaling-up Importance Sampling for Markov Logic Networks,” In NIPS 2014.

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