Παρακολούθηση
Vibhav Gogate
Vibhav Gogate
The University of Texas at Dallas
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα utdallas.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Probabilistic theorem proving
V Gogate, P Domingos
Communications of the ACM 59 (7), 107-115, 2016
2732016
A complete anytime algorithm for treewidth
V Gogate, R Dechter
arXiv preprint arXiv:1207.4109, 2012
2302012
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
1292014
SampleSearch: Importance sampling in presence of determinism
V Gogate, R Dechter
Artificial Intelligence 175 (2), 694-729, 2011
1292011
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
892010
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
842014
Join-graph propagation algorithms
R Mateescu, K Kask, V Gogate, R Dechter
Journal of Artificial Intelligence Research 37, 279-328, 2010
842010
Approximate counting by sampling the backtrack-free search space
V Gogate, R Dechter
AAAI 7, 198-203, 2007
752007
Chiradeep Roy, Jeremy E Block, Donald R Honeycutt, Tahrima Rahman, Eric Ragan, and Vibhav Gogate. 2021. Anchoring Bias Affects Mental Model Formation and User Reliance in …
M Nourani
26th International Conference on Intelligent User Interfaces, 340-350, 2021
732021
A new algorithm for sampling csp solutions uniformly at random
V Gogate, R Dechter
International Conference on Principles and Practice of Constraint …, 2006
712006
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
702021
On lifting the gibbs sampling algorithm
D Venugopal, V Gogate
Advances in Neural Information Processing Systems 25, 2012
682012
Approximate inference algorithms for hybrid bayesian networks with discrete constraints
V Gogate, R Dechter
arXiv preprint arXiv:1207.1385, 2012
642012
Evidence-based clustering for scalable inference in markov logic
D Venugopal, V Gogate
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
542014
Learning efficient Markov networks
V Gogate, W Webb, P Domingos
Advances in neural information processing systems 23, 2010
542010
Samplesearch: A scheme that searches for consistent samples
V Gogate, R Dechter
Artificial Intelligence and Statistics, 147-154, 2007
542007
Merging Strategies for Sum-Product Networks: From Trees to Graphs.
T Rahman, V Gogate
UAI, 2016
532016
Counting-based look-ahead schemes for constraint satisfaction
K Kask, R Dechter, V Gogate
International Conference on Principles and Practice of Constraint …, 2004
532004
Joint inference for event coreference resolution
J Lu, D Venugopal, V Gogate, V Ng
Proceedings of COLING 2016, the 26th International Conference on …, 2016
492016
Lifted MAP inference for Markov logic networks
S Sarkhel, D Venugopal, P Singla, V Gogate
Artificial intelligence and statistics, 859-867, 2014
492014
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