Vibhav Gogate

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Rina DechterUniversity of California, IrvineVerified email at ics.uci.edu
Tahrima RahmanPostdoctoral Research Associate, University of Texas at DallasVerified email at utdallas.edu
Deepak VenugopalThe University of MemphisVerified email at memphis.edu
Parag SinglaIndian Institute of Technology DelhiVerified email at cse.iitd.ac.in
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Nicholas RuozziUniversity of Texas at DallasVerified email at utdallas.edu
Eric RaganUniversity of FloridaVerified email at ufl.edu
Chiradeep RoyAdobe IncVerified email at adobe.com
Somdeb SarkhelSenior Research ScientistVerified email at adobe.com
Mahsan NouraniNortheastern UniversityVerified email at northeastern.edu
Donald HoneycuttUniversity of FloridaVerified email at ufl.edu
Happy MittalSenior Applied Scientist, Amazon IndiaVerified email at amazon.com
Kalev KaskResearcher, University of California at IrvineVerified email at uci.edu
Jeremy E. BlockHuman Centered Computing Ph.D. Student at the University of FloridaVerified email at ufl.edu
Vincent NgProfessor of Computer Science, University of Texas at DallasVerified email at hlt.utdallas.edu
Bozhena BidyukUberVerified email at uber.com
Abhay JhaFacebook, Inc.Verified email at fb.com
Shivvrat AryaDoctoral Candidate, The University of Texas at DallasVerified email at utdallas.edu
Rohith PeddiThe University of Texas at DallasVerified email at utdallas.edu
Sara RouhaniThe University of Texas at DallasVerified email at utdallas.edu

Vibhav Gogate

The University of Texas at Dallas

Verified email at utdallas.edu - Homepage

Artificial Intelligence Graphical models machine learning Probabilistic Inference Statistical Relational Learning


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Probabilistic theorem proving V Gogate, P Domingos Communications of the ACM 59 (7), 107-115, 2016	272	2016
A complete anytime algorithm for treewidth V Gogate, R Dechter arXiv preprint arXiv:1207.4109, 2012	226	2012
SampleSearch: Importance sampling in presence of determinism V Gogate, R Dechter Artificial Intelligence 175 (2), 694-729, 2011	127	2011
Cutset networks: A simple, tractable, and scalable approach for improving the accuracy of chow-liu trees T Rahman, P Kothalkar, V Gogate Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014	126	2014
Lifted inference seen from the other side: The tractable features A Jha, V Gogate, A Meliou, D Suciu Advances in Neural Information Processing Systems 23, 2010	91	2010
Relieving the computational bottleneck: Joint inference for event extraction with high-dimensional features D Venugopal, C Chen, V Gogate, V Ng Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014	85	2014
Join-graph propagation algorithms R Mateescu, K Kask, V Gogate, R Dechter Journal of Artificial Intelligence Research 37, 279-328, 2010	84	2010
Approximate counting by sampling the backtrack-free search space V Gogate, R Dechter AAAI 7, 198-203, 2007	75	2007
A new algorithm for sampling csp solutions uniformly at random V Gogate, R Dechter Principles and Practice of Constraint Programming-CP 2006: 12th …, 2006	69	2006
On lifting the gibbs sampling algorithm D Venugopal, V Gogate Advances in Neural Information Processing Systems 25, 2012	68	2012
Approximate inference algorithms for hybrid bayesian networks with discrete constraints V Gogate, R Dechter arXiv preprint arXiv:1207.1385, 2012	65	2012
Anchoring bias affects mental model formation and user reliance in explainable AI systems M Nourani, C Roy, JE Block, DR Honeycutt, T Rahman, E Ragan, ... Proceedings of the 26th International Conference on Intelligent User …, 2021	63	2021
Learning efficient Markov networks V Gogate, W Webb, P Domingos Advances in neural information processing systems 23, 2010	56	2010
Evidence-based clustering for scalable inference in markov logic D Venugopal, V Gogate Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014	55	2014
Samplesearch: A scheme that searches for consistent samples V Gogate, R Dechter Artificial Intelligence and Statistics, 147-154, 2007	54	2007
Counting-based look-ahead schemes for constraint satisfaction K Kask, R Dechter, V Gogate International Conference on Principles and Practice of Constraint …, 2004	52	2004
Merging Strategies for Sum-Product Networks: From Trees to Graphs. T Rahman, V Gogate UAI, 2016	51	2016
Lifted MAP inference for Markov logic networks S Sarkhel, D Venugopal, P Singla, V Gogate Artificial intelligence and statistics, 859-867, 2014	50	2014
Joint inference for event coreference resolution J Lu, D Venugopal, V Gogate, V Ng Proceedings of COLING 2016, the 26th International Conference on …, 2016	49	2016
Advances in lifted importance sampling V Gogate, A Jha, D Venugopal Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1910-1916, 2012	48	2012

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