Vibhav Gogate

	2012
28		Vibhav Gogate, Rina Dechter: Importance sampling-based estimation over AND/OR search spaces for graphical models. Artif. Intell. 184-185: 38-77 (2012)
27		Vibhav Gogate, Pedro Domingos: Approximation by Quantization CoRR abs/1202.3723: (2012)
26		Vibhav Gogate, Pedro Domingos: Probabilistic Theorem Proving CoRR abs/1202.3724: (2012)
25		Vibhav Gogate, Pedro Domingos: Formula-Based Probabilistic Inference CoRR abs/1203.3482: (2012)
	2011
24		Vibhav Gogate, Pedro Domingos: Approximation by Quantization. UAI 2011: 247-255
23		Vibhav Gogate, Pedro Domingos: Probabilistic Theorem Proving. UAI 2011: 256-265
22		Vibhav Gogate, Rina Dechter: SampleSearch: Importance sampling in presence of determinism. Artif. Intell. 175(2): 694-729 (2011)
21		Vibhav Gogate, Rina Dechter: Sampling-based lower bounds for counting queries. Intelligenza Artificiale 5(2): 171-188 (2011)
	2010
20		Vibhav Gogate, William Austin Webb, Pedro Domingos: Learning Efficient Markov Networks. NIPS 2010: 748-756
19		Abhay Kumar Jha, Vibhav Gogate, Alexandra Meliou, Dan Suciu: Lifted Inference Seen from the Other Side : The Tractable Features. NIPS 2010: 973-981
18		Vibhav Gogate, Pedro Domingos: Exploiting Logical Structure in Lifted Probabilistic Inference. Statistical Relational Artificial Intelligence 2010
17		Vibhav Gogate, Pedro Domingos: Formula-Based Probabilistic Inference. UAI 2010: 210-219
16		Robert Mateescu, Kalev Kask, Vibhav Gogate, Rina Dechter: Join-Graph Propagation Algorithms. J. Artif. Intell. Res. (JAIR) 37: 279-328 (2010)
15		Vibhav Gogate, Rina Dechter: On Combining Graph-based Variance Reduction schemes. Journal of Machine Learning Research - Proceedings Track 9: 257-264 (2010)
	2008
14		Vibhav Gogate, Rina Dechter: Studies in Solution Sampling. AAAI 2008: 271-276
13		Vibhav Gogate, Rina Dechter: Approximate Solution Sampling (and Counting) on AND/OR Spaces. CP 2008: 534-538
12		Vibhav Gogate, Rina Dechter: AND/OR Importance Sampling. UAI 2008: 212-219
	2007
11		Vibhav Gogate: Approximate Inference in Probabilistic Graphical Models with Determinism. AAAI 2007: 1927-1928
10		Vibhav Gogate, Rina Dechter: Approximate Counting by Sampling the Backtrack-free Search Space. AAAI 2007: 198-203
9		Vibhav Gogate, Bozhena Bidyuk, Rina Dechter: Studies in Lower Bounding Probabilities of Evidence using the Markov Inequality. UAI 2007: 141-148
8		Vibhav Gogate, Rina Dechter: SampleSearch: A Scheme that Searches for Consistent Samples. Journal of Machine Learning Research - Proceedings Track 2: 147-154 (2007)
	2006
7		Vibhav Gogate, Rina Dechter: A New Algorithm for Sampling CSP Solutions Uniformly at Random. CP 2006: 711-715
	2005
6		Vibhav Gogate, Rina Dechter: Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints. UAI 2005: 209-216
5		Vibhav Gogate, Rina Dechter, Bozhena Bidyuk, Craig Rindt, James Marca: Modeling Transportation Routines using Hybrid Dynamic Mixed Networks. UAI 2005: 217-224
	2004
4		Kalev Kask, Rina Dechter, Vibhav Gogate: New Look-Ahead Schemes for Constraint Satisfaction. AMAI 2004
3		Kalev Kask, Rina Dechter, Vibhav Gogate: Counting-Based Look-Ahead Schemes for Constraint Satisfaction. CP 2004: 317-331
2		Kalev Kask, Rina Dechter, Vibhav Gogate: New Look-Ahead Schemes for Constraint Satisfaction. ISAIM 2004
1		Vibhav Gogate, Rina Dechter: A Complete Anytime Algorithm for Treewidth. UAI 2004: 201-208

Coauthor Index

1	Bozhena Bidyuk	[5] [9]
2	Rina Dechter	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [13] [14] [15] [16] [21] [22] [28]
3	Pedro Domingos	[17] [18] [20] [23] [24] [25] [26] [27]
4	Abhay Kumar Jha	[19]
5	Kalev Kask	[2] [3] [4] [16]
6	James Marca	[5]
7	Robert Mateescu	[16]
8	Alexandra Meliou	[19]
9	Craig Rindt	[5]
10	Dan Suciu	[19]
11	William Austin Webb	[20]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page