Vibhav Gogate

Shasha Jin

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation.

[BibT_eX]

[DOI]

Shasha Jin

Proceedings of the 36th International Conference on Machine Learning, 2019

Domain-Size Aware Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Domain Aware Markov Logic Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization.

[BibT_eX]

[DOI]

Yibo Yang

Nicholas Ruozzi

CoRR, 2018

Lifted Marginal MAP Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Dissociation-Based Oblivious Bounds for Weighted Model Counting.

[BibT_eX]

[DOI]

Li Chou

Wolfgang Gatterbauer

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Algorithms for the Nearest Assignment Problem.

[BibT_eX]

[DOI]

Sara Rouhani

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Efficient Inference for Untied MLNs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Order Statistics for Probabilistic Graphical Models.

[BibT_eX]

[DOI]

Sara Rouhani

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Lifted Region-Based Belief Propagation.

[BibT_eX]

[DOI]

Parag Singla

CoRR, 2016

Probabilistic theorem proving.

[BibT_eX]

[DOI]

Commun. ACM, 2016

Merging Strategies for Sum-Product Networks: From Trees to Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Probabilistic Inference Modulo Theories.

[BibT_eX]

[DOI]

Rodrigo de Salvo Braz

Ciaran O'Reilly

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Joint Inference for Event Coreference Resolution.

[BibT_eX]

[DOI]

Proceedings of the COLING 2016, 2016

Scalable Training of Markov Logic Networks Using Approximate Counting.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning Ensembles of Cutset Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

On Parameter Tying by Quantization.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Bounding the Cost of Search-Based Lifted Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast Lifted MAP Inference via Partitioning.

[BibT_eX]

[DOI]

Somdeb Sarkhel

Parag Singla

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Lifted Inference Rules With Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs.

[BibT_eX]

[DOI]

Somdeb Sarkhel

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Evidence-Based Clustering for Scalable Inference in Markov Logic.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees.

[BibT_eX]

[DOI]

Prasanna V. Kothalkar

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Scaling-up Importance Sampling for Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

An Integer Polynomial Programming Based Framework for Lifted MAP Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

New Rules for Domain Independent Lifted MAP Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features.

[BibT_eX]

[DOI]

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Loopy Belief Propagation in the Presence of Determinism.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Lifted MAP Inference for Markov Logic Networks.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

The AAAI-13 Conference Workshops.

[BibT_eX]

[DOI]

AI Mag., 2013

Dynamic Blocking and Collapsing for Gibbs Sampling.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Structured Message Passing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

The Inclusion-Exclusion Rule and its Application to the Junction Tree Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Lifting WALKSAT-Based Local Search Algorithms for MAP Inference.

[BibT_eX]

[DOI]

Somdeb Sarkhel

Proceedings of the Statistical Relational Artificial Intelligence, 2013

Preface.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2013

Organizers.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012

Importance sampling-based estimation over AND/OR search spaces for graphical models.

[BibT_eX]

[DOI]

Artif. Intell., 2012

On Lifting the Gibbs Sampling Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Advances in Lifted Importance Sampling.

[BibT_eX]

[DOI]

Abhay Kumar Jha

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Sampling-based lower bounds for counting queries.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2011

SampleSearch: Importance sampling in presence of determinism.

[BibT_eX]

[DOI]

Artif. Intell., 2011

Approximation by Quantization.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

2010

On Combining Graph-based Variance Reduction schemes.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Join-Graph Propagation Algorithms.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2010

Formula-Based Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Lifted Inference Seen from the Other Side : The Tractable Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Efficient Markov Networks.

[BibT_eX]

[DOI]

William Austin Webb

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Exploiting Logical Structure in Lifted Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2010

2008

AND/OR Importance Sampling.

[BibT_eX]

[DOI]