David Buchman

According to our database1, David Buchman authored at least 11 papers between 2011 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2017
Negative probabilities in probabilistic logic programs.
Int. J. Approx. Reason., 2017

Why Rules are Complex: Real-Valued Probabilistic Logic Programs are not Fully Expressive.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016
Negation Without Negation in Probabilistic Logic Programming.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

2015
Representing Aggregators in Relational Probabilistic Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Population Size Extrapolation in Relational Probabilistic Modelling.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Relational Logistic Regression.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Relational Logistic Regression: The Directed Analog of Markov Logic Networks.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
Probabilistic Reasoning with Undefined Properties in Ontologically-Based Belief Networks.
Proceedings of the IJCAI 2013, 2013

2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

2011
On Autoencoders and Score Matching for Energy Based Models.
Proceedings of the 28th International Conference on Machine Learning, 2011


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