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 | 2012 | |
|---|---|---|
| j6 |      | Vibhav Gogate, Rina Dechter: Importance sampling-based estimation over AND/OR search spaces for graphical models. Artif. Intell. 184-185: 38-77 (2012) |
| c21 | | |
| c20 | | |
| i8 | | |
| i7 | | |
| i6 | | |
| i5 | | |
| i4 | | Vibhav Gogate, Bozhena Bidyuk, Rina Dechter: Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality. CoRR abs/1206.5242 (2012) |
| i3 | | Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, Craig Rindt, James Marca: Modeling Transportation Routines using Hybrid Dynamic Mixed Networks. CoRR abs/1207.1384 (2012) |
| i2 | | Vibhav Gogate, Rina Dechter: Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints. CoRR abs/1207.1385 (2012) |
| i1 | | |
| 2011 | ||
| j5 | | Vibhav Gogate, Rina Dechter: SampleSearch: Importance sampling in presence of determinism. Artif. Intell. 175(2): 694-729 (2011) |
| j4 | | Vibhav Gogate, Rina Dechter: Sampling-based lower bounds for counting queries. Intelligenza Artificiale 5(2): 171-188 (2011) |
| c19 | | |
| c18 | | |
| 2010 | ||
| j3 | | Robert Mateescu, Kalev Kask, Vibhav Gogate, Rina Dechter: Join-Graph Propagation Algorithms. J. Artif. Intell. Res. (JAIR) 37: 279-328 (2010) |
| j2 | | Vibhav Gogate, Rina Dechter: On Combining Graph-based Variance Reduction schemes. Journal of Machine Learning Research - Proceedings Track 9: 257-264 (2010) |
| c17 | | Vibhav Gogate, Pedro Domingos: Exploiting Logical Structure in Lifted Probabilistic Inference. Statistical Relational Artificial Intelligence 2010 |
| c16 | | Vibhav Gogate, William Austin Webb, Pedro Domingos: Learning Efficient Markov Networks. NIPS 2010: 748-756 |
| c15 | | Abhay Kumar Jha, Vibhav Gogate, Alexandra Meliou, Dan Suciu: Lifted Inference Seen from the Other Side : The Tractable Features. NIPS 2010: 973-981 |
| c14 | | |
| 2008 | ||
| c13 | | |
| c12 | | Vibhav Gogate, Rina Dechter: Approximate Solution Sampling (and Counting) on AND/OR Spaces. CP 2008: 534-538 |
| c11 | | |
| 2007 | ||
| j1 | | Vibhav Gogate, Rina Dechter: SampleSearch: A Scheme that Searches for Consistent Samples. Journal of Machine Learning Research - Proceedings Track 2: 147-154 (2007) |
| c10 | | Vibhav Gogate, Rina Dechter: Approximate Counting by Sampling the Backtrack-free Search Space. AAAI 2007: 198-203 |
| c9 | | Vibhav Gogate: Approximate Inference in Probabilistic Graphical Models with Determinism. AAAI 2007: 1927-1928 |
| c8 | | Vibhav Gogate, Bozhena Bidyuk, Rina Dechter: Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality. UAI 2007: 141-148 |
| 2006 | ||
| c7 | | Vibhav Gogate, Rina Dechter: A New Algorithm for Sampling CSP Solutions Uniformly at Random. CP 2006: 711-715 |
| 2005 | ||
| c6 | | Vibhav Gogate, Rina Dechter: Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints. UAI 2005: 209-216 |
| c5 | | Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, Craig Rindt, James Marca: Modeling Transportation Routines using Hybrid Dynamic Mixed Networks. UAI 2005: 217-224 |
| 2004 | ||
| c4 | | Kalev Kask, Rina Dechter, Vibhav Gogate: New Look-Ahead Schemes for Constraint Satisfaction. AMAI 2004 |
| c3 | | Kalev Kask, Rina Dechter, Vibhav Gogate: Counting-Based Look-Ahead Schemes for Constraint Satisfaction. CP 2004: 317-331 |
| c2 | | Kalev Kask, Rina Dechter, Vibhav Gogate: New Look-Ahead Schemes for Constraint Satisfaction. ISAIM 2004 |
| c1 | | |
| 1 | Bozhena Bidyuk | |
| 2 | Rina Dechter | |
| 3 | Pedro Domingos | |
| 4 | Abhay Kumar Jha | |
| 5 | Kalev Kask | |
| 6 | James Marca | |
| 7 | Robert Mateescu | |
| 8 | Alexandra Meliou | |
| 9 | Craig Rindt | |
| 10 | Dan Suciu | |
| 11 | Deepak Venugopal | |
| 12 | William Austin Webb |
Colors in the list of coauthors
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