Search Machine Learning Repository:
All publications by Lise Getoor
authors venues years



The Benefits of Learning with Strongly Convex Approximate Inference
Ben London, Bert Huang and Lise Getoor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
Xinran He, Theodoros Rekatsinas, James Foulds, Lise Getoor and Yan Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
James Foulds, Shachi Kumar and Lise Getoor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Stephen Bach, Bert Huang, Jordan Boyd-graber and Lise Getoor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Collective Stability in Structured Prediction: Generalization from One Example
Ben London, Bert Huang, Ben Taskar and Lise Getoor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen Bach, Matthias Broecheler, Lise Getoor and Dianne O'leary
Advances in Neural Information Processing Systems 25, 2012


Active Learning for Networked Data
Mustafa Bilgic, Lilyana Mihalkova and Lise Getoor
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
Matthias Broecheler and Lise Getoor
Advances in Neural Information Processing Systems 23, 2010


Cost-sensitive learning with conditional Markov networks
Prithviraj Sen and Lise Getoor
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Link-based Classification
Qing Lu and Lise Getoor
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning Probabilistic Models of Link Structure
Lise Getoor, Nir Friedman, Daphne Koller and Benjamin Taskar
Journal of Machine Learning Research, 2002