Vibhav Gogate

Papers

2013

  • [C 21] 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. [ PDF ]

  • [C 20] 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. [ PDF ]

2012

  • [W 8] Vibhav Gogate and Pedro Domingos, “Probabilistic Theorem Proving: A Unifying Approach for Inference in Probabilistic Programming,” In NIPS 2012 workshop on Probabilistic Programming. 2012. [ PDF ]

  • [C 19, W 7] Deepak Venugopal and Vibhav Gogate, “On Lifting the Gibbs Sampling Algorithm,” In 26th Annual Conference on Neural Information Processing Systems (NIPS), 2012. [ PDF ]

  • [C 18] Vibhav Gogate, Abhay Jha and Deepak Venugopal, “Advances in Lifted Importance Sampling,” In 26th AAAI Conference on Artificial Intelligence (AAAI), 2012. [ PDF ]

  • [J 4] Vibhav Gogate and Rina Dechter, “Importance Sampling based Estimation over ANDOR search spaces for graphical models/,” Artificial Intelligence Journal. 2012. [ PDF ]

2011

  • [J 3] Vibhav Gogate and Rina Dechter, “Sampling-based Lower Bounds for Counting Queries,” Intelligenza Artificiale. 2011. [ PDF ]

  • [J 2] Vibhav Gogate and Rina Dechter, “SampleSearch: Importance Sampling in presence of Determinism,” Artificial Intelligence Journal, 2011. [ PDF ]

  • [C 17] Vibhav Gogate and Pedro Domingos, “Probabilistic Theorem Proving,” In 27th Conference on Uncertainty in Artificial Intelligence (UAI), 2011. [ PDF ]

  • [C 16] Vibhav Gogate and Pedro Domingos, “Approximation by Quantization,” In 27th Conference on Uncertainty in Artificial Intelligence (UAI), 2011. [ PDF ]

2010

  • [C 15] Vibhav Gogate, William Austin Webb and Pedro Domingos, “Learning Efficient Markov networks,” In Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), 2010. [ PDF ]

  • [C 14] Abhay Jha, Vibhav Gogate, Alexandra Meliou and Dan Suciu, “Lifted Inference from the Other Side: The tractable Features,” In Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), 2010. [ PDF ]

  • [W 6 ] Vibhav Gogate and Pedro Domingos, Exploiting Logical Structure in Lifted Probabilistic Inference, In AAAI 2010 workshop on Statististical and Relational Artificial Intelligence (STAR-AI). 2010. [ PDF ]

  • [C 13] Vibhav Gogate and Pedro Domingos, “Formula-Based Probabilistic Inference,” In 26th Conference on Uncertainty in Artificial Intelligence (UAI), 2010. Algorithm presented in the paper was co-winner of the 2010 UAI approximate inference challenge. [ PDF ]

  • [C 12] Vibhav Gogate and Rina Dechter, “On Combining Graph-based Variance Reduction schemes,” In 13th International Conference on Artificial Intelligence and Statistics (AISTATS), 2010. [ PDF ]

  • [J 1] Robert Mateescu, Kalev Kask, Vibhav Gogate and Rina Dechter, “Join-Graph Propagation Algorithms”, Journal of Artificial Intelligence Research, 2010. Algorithm presented in the paper was co-winner of the 2010 UAI approximate inference challenge. [ PDF]

2009

  • [T 1] Vibhav Gogate, “Sampling Algorithms for Probabilistic Graphical Models with Determinism,” Ph.D. thesis, University of California, Irvine, June 2009. Thesis nominated by University of California, Irvine for the ACM Doctoral Dissertation award. [ PDF ]

2008

  • [C 11] Vibhav Gogate and Rina Dechter, “Approximate Solution Sampling ( and Counting) on ANDOR search spaces/,” In 14th International Conference on Principles and Practice of Constraint Programming (CP), 2008. [ PDF ]

  • [C 10] Vibhav Gogate and Rina Dechter, “AND\OR Importance Sampling,” In 24th Conferenceon Uncertainty in Artificial Intelligence (UAI), 2008. [ PDF ]

  • [C 9] Vibhav Gogate and Rina Dechter, “Studies in Solution Sampling,” In 23rd Conference on Artificial Intelligence (AAAI), 2008. [ PDF ]

2007

  • [W 5] Vibhav Gogate, “Approximate Inference in Probabilistic Graphical Models with Determinism,” In Doctoral Program of 22nd Conference on Artificial Intelligence (AAAI), 2007. [ PDF ]

  • [W 4] Vibhav Gogate and Rina Dechter, “A Simple Application of Sampling Importance Resampling to Solution Sampling,” In Doctoral Program of 13th International Conference on Principles and Practice of Constraint Programming (CP), 2007. [ PDF ]

  • [C 8] Vibhav Gogate, Bozhena Bidyuk and Rina Dechter, “Studies in Lower Bounding Probability of Evidence using the Markov Inequality,” In 23rd Conference on Uncertainty in Artificial Intelligence (UAI), 2007. [ PDF ]

  • [C 7] Vibhav Gogate and Rina Dechter, “Approximate Counting by Sampling the Backtrack-free Search Space,” In 22nd Conference on Artificial Intelligence (AAAI), 2007. [ PDF ]

  • [C 6] Vibhav Gogate and Rina Dechter, “SampleSearch: A Scheme that Searches for Consistent Samples,” In 11th International Conference on Artificial Intelligence and Statistics (AISTATS), 2007. [ PDF ]

2006

  • [C 5, W 3] Vibhav Gogate and Rina Dechter, “A New Algorithm for Sampling CSP Solutions Uniformly at Random,” In 12th International Conference on Principles and Practice of Constraint Programming (CP), 2006. [ PDF ]

  • [W 2] Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, James Marca and Craig Rindt, “Modeling Travel and Activity Routines using Hybrid Dynamic Mixed Networks,” In 85th annual meeting of the Transportation Research Board (TRB), 2006. [ PDF ]

2005

  • [C 4] Vibhav Gogate and Rina Dechter, “Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints,” In 21st Conference on Uncertainty in Artificial Intelligence (UAI), 2005. [ PDF ]

  • [C 3] Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, James Marca and Craig Rindt, “Modeling Transportation Routines using Hybrid Dynamic Mixed Networks,” In 21st Conference on Uncertainty in Artificial Intelligence (UAI), 2005. [ PDF ]

2004

  • [C 2] Kalev Kask, Rina Dechter and Vibhav Gogate, “Counting-Based Look-ahead Schemes for Constraint Satisfaction,” In 10th International Conference on Principles and Practice of Constraint Programming (CP), 2004. [ PDF ]

  • [ W 1 ] Kalev Kask, Rina Dechter and Vibhav Gogate, “New Look-ahead Schemes for Constraint Satisfaction,” In 8th International Symposium on Artificial Intelligence and Mathematics AI+MATH, 2004. [ PDF ]

  • [ C 1 ] Vibhav Gogate and Rina Dechter, “A complete Anytime Algorithm for Treewidth,” In 20th Conference on Uncertainty in Artificial Intelligence (UAI), 2004. [ PDF ]