Publications

Search

Show only items where

Author

Type

Term

Year

Keyword

Export 27 results:

BibTex

Filters: First Letter Of Last Name is L [Clear All Filters]

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

L

Lu, Q. & Getoor, L. Link-based Classification. Proceedings of the International Conference on Machine Learning (ICML) (2003).

lu-icml03.pdf (195.81 KB)

Lu, Q. & Getoor, L. Link-based Classification Using Labeled and Unlabeled Data. ICML Workshop on "The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining (2003).

icml03-ws.pdf (274.65 KB)

Lu, Q. & Getoor, L. Link-based Text Classification. IJCAI Workshop on "Text Mining and Link Analysis" (2003).

ijcai03-ws.pdf (97.25 KB)

London, B., Huang, B., Taskar, B. & Getoor, L. PAC-Bayesian Collective Stability. Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (2014).

london-aistats14.pdf (490.14 KB)

London, B. et al. Collective Activity Detection using Hinge-loss Markov Random Fields. CVPR Workshop on SPTLE (2013).

london-sptle13.pdf (705.87 KB)

London, B. & Getoor, L. Collective Classification of Network Data. Data Classification: Algorithms and Applications 1, 399--416 (CRC Press, 2013).

london-book13.pdf (394.37 KB)

London, B., Huang, B., Taskar, B. & Getoor, L. Collective Stability in Structured Prediction: Generalization from One Example. ICML (2013).

london-icml13.pdf (373.82 KB)

London, B., Huang, B. & Getoor, L. Graph-based Generalization Bounds for Learning Binary Relations. (2013).

br_risk_bounds.pdf (304.54 KB)

London, B., Rekatsinas, T., Huang, B. & Getoor, L. Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss. (2013).

mrwtd.pdf (460.45 KB)

London, B., Huang, B., Taskar, B. & Getoor, L. PAC-Bayes Generalization Bounds for Randomized Structured Prediction. NIP Workshop on Perturbation, Optimization and Statistics (2013).

london-nips13ws.pdf (205.57 KB)

London, B., Huang, B. & Getoor, L. Improved Generalization Bounds for Large-scale Structured Prediction. NIPS Workshop on Algorithmic and Statistical Approaches for Large Social Networks (2012).

london-nips12ws.pdf (213.95 KB)

London, B., Rekatsinas, T., Huang, B. & Getoor, L. Multi-relational Weighted Tensor Decomposition. NIPS Workshop on SL (2012).

london-sl12.pdf (326.3 KB)

London, B. On the Stability of Structured Prediction. (2015).

blondon-thesis.pdf (1.16 MB)

London, B., Huang, B. & Getoor, L. Stability and Generalization in Structured Prediction. – (2015).

london-stability15.pdf (532.16 KB)

London, B., Huang, B. & Getoor, L. The Benefits of Learning with Strongly Convex Approximate Inference. ICML (2015).

london-icml15.pdf (788.06 KB)

London, B., Huang, B. & Getoor, L. Stability and Generalization in Structured Prediction. Journal of Machine Learning Research 17, (2016).

london-jmlr17.pdf (532.8 KB)

London, B., Huang, B. & Getoor, L. On the Strong Convexity of Variational Inference. NIPS Workshop on Advances in Variational Inference (2014).

london-nips14ws.pdf (253.72 KB)

Licamele, L. & Getoor, L. A method for the detection of meaningful and reproducible group signatures from gene expression profiles. Journal of Bioinformatics and Computational Biology (2011).

Licamele, L. & Getoor, L. Indirect two-sided relative ranking: a robust similarity measure for gene expression data. BMC Bioinformatics (2010).

Licamele, L. & Getoor, L. Predicting Protein-Protein Interactions Using Relational Features. ICML Workshop on Statistical Network Analysis (2006).

Licamele, L. & Getoor, L. Social Capital in Friendship-Event Networks. IEEE International Conference on Data Mining (ICDM) (2006).

Licamele, L., Bilgic, M., Getoor, L. & Roussopoulos, N. Capital and Benefit in Social Networks. ACM SIGKDD Workshop on Link Analysis and Group Detection (LinkKDD) (2005).

licamele_linkkdd05.pdf (421.14 KB)

Lerman, K., Getoor, L., Minton, S. & Knoblock, C. Using the Structure of Web Sites for Automatic Segmentation of Tables. In Proceedings of ACM-SIGMOD 2004 International Conference on Management of Data (2004).

lerman-sigmod04.pdf (307.43 KB)

Lansky, A. & Getoor, L. Scope and Abstraction: Two Criteria for Localized Planning. Proceedings of the International Joint Conference on Articial Intelligence (1995).

Lansky, A., Friedman, M., Getoor, L., Schmidler, S. & Jr., N. Short. The Collage/Khoros Link: Planning for Image Processing Tasks. Proceedings of the AAAI Spring Symposium on Integrated Planning Applications (1995).

Lansky, A. & Getoor, L. Practical Planning in COLLAGE. Proceedings of the AAAI Fall Symposium on Planning and Learning: On to Real Applications (1994).

Lansky, A. & Getoor, L. Scope and Abstraction: Two Criteria for Localized Planning. Proceedings of the Workshop on Theory Reformulation and Abstraction (1994).