Vibhav Gogate

http://www.cs.washington.edu/homes/vgogate/
vgogate [at] cs.washington.edu
Alumni
Computer Science and Engineering

Projects


Publications

2011

Approximation by Quantization Approximation by Quantization
Vibhav Gogate and Pedro Domingos
Uncertainty in Artificial Intelligence, 2011. Full Paper (PDF)
Probabilistic Theorem Proving Probabilistic Theorem Proving
Vibhav Gogate and Pedro Domingos
Uncertainty in Artificial Intelligence, 2011. Full Paper (PDF)

2010

Learning Efficient Markov Networks Learning Efficient Markov Networks
Vibhav Gogate, William Austin Webb and Pedro Domingos
Annual Conference on Neural Information Processing Systems, 2010. Full Paper (PDF)
Lifted Inference Seen from the Other Side: The Tractable Features Lifted Inference Seen from the Other Side: The Tractable Features
Abhay K Jha, Vibhav Gogate, Alexandra Meliou and Dan Suciu
Annual Conference on Neural Information Processing Systems, 2010. Full Paper (PDF)
Exploiting Logical Structure in Lifted Probabilistic Inference Exploiting Logical Structure in Lifted Probabilistic Inference
Vibhav Gogate and Pedro Domingos
Workshop on Statistical Relational AI, 2010. Workshop Paper (PDF)
Formula-Based Probabilistic Inference Formula-Based Probabilistic Inference
Vibhav Gogate and Pedro Domingos
Uncertainty in Artificial Intelligence, 2010. Full Paper (PDF)