Publications

PSL

Hinge-loss Markov Random Fields and Probabilistic Soft Logic
Stephen H. Bach, Matthias Broecheler, Bert Huang, and Lise Getoor
ArXiv Preprint: 1505.04406

Please cite PSL using:

@article{bach:arxiv15,
    Title = {Hinge-Loss Markov Random Fields and Probabilistic Soft Logic},
    Author = {Bach, Stephen H. and Broecheler, Matthias and Huang, Bert and Getoor, Lise},
    Volume = {arXiv:1505.04406 [cs.LG]},
    Year = {2015}}

Hinge-Loss MRFs

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction
Stephen H. Bach, Bert Huang, Ben London, and Lise Getoor
Uncertainty in Artificial Intelligence (UAI) 2013
[bibtex]

Inference

Budgeted Online Collective Inference
Jay Pujara, Ben London, and Lise Getoor
Uncertainty in Artificial Intelligence (UAI) 2015
[bibtex]

Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
Matthias Broecheler and Lise Getoor
Advances in Neural Information Processing Systems (NIPS) 2010
[bibtex] [dataset]

Learning

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Stephen H. Bach*, Bert Huang*, Jordan Boyd-Graber, and Lise Getoor
International Conference on Machine Learning (ICML) 2015
(* Equal contributors.)
[bibtex] [supplementary]

Large-margin Structured Learning for Link Ranking
Stephen H. Bach, Bert Huang, and Lise Getoor
NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications 2013
Best Student Paper Award
[bibtex]

Applications

HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems
Pigi Kouki, Shobeir Fakhraei, James Foulds, Magdalini Eirinaki, Lise Getoor
ACM Conference on Recommender Systems (RecSys) 2015
[bibtex]

Collective Spammer Detection in Evolving Multi-Relational Social Networks
Shobeir Fakhraei, James Foulds, Madhusudana Shashanka, Lise Getoor
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2015
[bibtex]

Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums
Arti Ramesh, Shachi Kumar, James Foulds, Lise Getoor
Annual Meeting of the Association for Computational Linguistics (ACL) 2015
[bibtex]

Joint Models of Disagreement and Stance in Online Debate
Dhanya Sridhar, James Foulds, Marilyn Walker, Bert Huang, Lise Getoor
Annual Meeting of the Association for Computational Linguistics (ACL) 2015
[bibtex]

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
James Foulds, Shachi Kumar, Lise Getoor
International Conference on Machine Learning (ICML) 2015
[bibtex]

Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic
Shobeir Fakhraei, Bert Huang, Louiqa Raschid, and Lise Getoor
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 2014
[bibtex] [code and data]

Collective Activity Detection using Hinge-loss Markov Random Fields
Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, and Larry Davis
CVPR Workshop on Structured Prediction: Tractability, Learning and Inference 2013
[bibtex]

Knowledge Graph Identification
Jay Pujara, Hui Miao, Lise Getoor, William Cohen
International Semantic Web Conference (ISWC) 2013
Best Student Paper Award
[bibtex] [GitHub]

A Flexible Framework for Probabilistic Models of Social Trust
Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP) 2013
[bibtex]

Social Group Modeling with Probabilistic Soft Logic
Bert Huang, Stephen H. Bach, Eric Norris, Jay Pujara, and Lise Getoor
NIPS Workshop on Social Network and Social Media Analysis: Methods, Models, and Applications 2012
[bibtex]

Graph Summarization in Annotated Data Using Probabilistic Soft Logic
Alex Memory, Angelika Kimmig, Stephen H. Bach, Louiqa Raschid, and Lise Getoor
International Workshop on Uncertainty Reasoning for the Semantic Web (URSW) 2012
[bibtex]

A Scalable Framework for Modeling Competitive Diffusion in Social Networks
Matthias Broecheler, Paulo Shakarian, and V.S. Subrahmanian
International Conference on Social Computing (SocialCom), Symposium Section 2010
[bibtex]

Early Work

A Short Introduction to Probabilistic Soft Logic
Angelika Kimmig, Stephen H. Bach, Matthias Broecheler, Bert Huang, and Lise Getoor
NIPS Workshop on Probabilistic Programming: Foundations and Applications 2012
[bibtex]

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen H. Bach, Matthias Broecheler, Lise Getoor, and Dianne P. O’Leary
Advances in Neural Information Processing Systems (NIPS) 2012
[bibtex] [supplementary] [poster]

Probabilistic Similarity Logic
Matthias Broecheler, Lilyana Mihalkova, and Lise Getoor
Uncertainty in Artificial Intelligence (UAI) 2010
[bibtex] [dataset]